Events

As promised yesterday, my discussion with Heather Knight of Marilyn Monrobot. I’d like to thank Heather for taking the time to speak with us after the Dr. Ishiguro’s lecture. We hope you enjoy the interview below.

Eric Wind: How’d you come to speak at the lecture tonight?

Heather Knight: I was invited to come speak at the lecture. There aren’t that many roboticists in New York City and I’m not sure whether they found me or whether [Erico Guizzo] recommended me because of our common interest in robots and theater.

E: What part of the conversation did you find the most intriuging and most beneficial for the audience?

H: That’s a good question. It’s always interesting to speak to a general public crowd. This was a real interesting evening because you had the Japanese Cultural Society and then the people interested in robots coming. It prompts a more cultural discussion to begin with, because you’re in New York City at this, you know, Japanese house of culture. So, having an American roboticist and a Japanese roboticist, we both have similar research interests in that we think social robots are really important and we want to make these robot companion type situations. Although, I would say that I want robots to bring people to connect, rather than being the connection.

He and I both have a strong interest in theater and thinking about algorithims we can learn from directors, actors that are codified a little bit differently than psychologists. Though, psychology is a field which social robotics adopts methodology from. So, we have a lot of similar interests, but we’re also very different, so it was fun.

You know, he’s a lot more experienced than I am. Hiroshi Ishiguro has been working on robotics for several decades and has a very established lab in Japan. I’ve been working on robots for 11 years, and it’s not like I haven’t done anything, but he’s been a huge inspiration for me and it was really exciting to be able to be in that situation.

E: When did you first hear about his work?

H: Well, it’s been at least 7 or 8 years ago. I started doing social robotics when I was an undergrad at MIT and working with a professor named Cynthia Breazeal. She made this robot for her PhD called Kismet, that was basically a head that had ears and eyes. It wasn’t trying to be a super-humanoid, it was almost creature like. It didn’t use words, but it kind of babbled. It responded to the tone of your voice. Sometimes it would be in the mood to play with toys or color-saturated objects, or sometimes it would be in the mood to socialize. I think one of the more clever aspects of it’s behavior system is that it would get bored. So, if you weren’t being interesting then it would switch to wanting to play with toys, which seems really human. It’s a really simple set of behaviors. But anyone could walk up to this robot without any training and learn how to interact, because it would be like “Hello!” and it’s ears would perk up, or if you said “You’ve been a very bad robot!” it would make a sad face or something.

So, it’s responding with sound. With these facial expressions that are perhaps a little cartoon like, but not fully human but still relateable. I think it’s really compelling to think about the simplest ways to come up with human like robots. That’s often the most difficult thing to do. As an engineer, it’s always more difficult to have a simple solution that’s very clever, than it is to have a convoluted Rube Goldberg machine to making breakfast or something.

E: Could you expand on your background a bit more?

H: Sure. I have a Bachelors and a Masters in Electrical Engineering and Computer Science, and now I’m working on a PhD in Robotics. So, you might think I’ve been in school for the last 15 years but actually I do other things along the way. I’ve taken breaks to travel and do other things, but I got a chance to work at the [NASA] Jet Propulsion Laboratory in California on space stuff. While I was there, I met people who were working in art and technology, and who I ended up collaborating with.

Originally, I was in SyynLabs, we were building installations for events. For example, you’d have a projection wall where people would come up to and dance, and things would fall on them and roll off their shadow. It was these installations that are in an event setting that would get people talking to each other. So it’s that technology that is fun and playful, and when we started building other things, like a bicycle-powered blender or, I don’t know, we had this one installation where you had to create a human circuit to hear a story — so, if you wanted to hear the full story, you needed to have a group of, like, 10 strangers holding hands. You’re using technology to trick people into spending time with each other. We used to call it “technological inebriation.”

It was really technology for people, and I think that’s a great metaphor for some of the robots I want to make. I don’t want to make robots for the sake of replacing people, or, I don’t know, for their own good. I think you can use robotics in these interactive art pieces to bring out features in ourselves or connect us to each other. Like, there’s autism therapy applications, where kids with autism feel more comfortable talking to robots than people because it’s less overwhelming — less sensory overload. If they practiced with this robot, this kind of stepping-stone agent, then they could better integrate generally, or get used to those more useless but still socially important aspects of interaction.

E: What was your Masters thesis on?

H: I did my Masters thesis on this project called the Huggable. It was this robotic teddy bear that had a fully body sensing skin. I was trying to come up with a way to make that sense happen in real time, so it could react naturally. It’s like if you were to pick up something, like a puppy or a baby. So, how do we communicate with puppies and babies? You pet them, hold them or you might tickle them. If they’re asleep, you pat them to wake them up. All of that communication that is happening is very complex. Anyone who has a small child or has played with a small child, they could tell you that the child knows what they want, but it’s not verbal. So how can you create pre-verbal interactions?

My thesis was on what kind of touch gestures do we use to communicate with this robot teddy bear. This involved human studies which included an audio puppeteer. So, if someone was pretending to be the robot, it sees the video and it’s natrually reacting and its sensors are trying to determine how people are communicating with it.
Basically, I get this data corpus to see how people use touch to communicate. It becomes a pattern recognition problem, where you have to categorize how people use touch and then you have to think about “how can I detect this?” Since I was trying to build a system that would work in real-time, one of the things I discovered is with touch, you don’t need really fine tuned sensing. As long as you cover an area that is two by three inches, you’re going to capture most communication. You don’t need a really fine grid.

The second thing is most touch lasts one to five seconds, so the connection doesn’t need to be particularly quick. Within that, you need to do some frequency analysis. For example, tickling is a very noisy signal. It involves a lot of different signals. Petting is more of a regular sine wave. Then, you can see how you differentiate between these different kinds of touch.

My degree was in Electrical Engineering, so it was designing the sensor system but it was also coming up with a simple pattern recognition system.

E: What’s your doctoral thesis, and how’s the progress?

H: I haven’t declared my thesis yet. I have finished my coursework, and I’m in the prep for that. Then we have qualifiers and so on, and I’m in the very final stage of my qualifiers. I will complete those this semester and hopefully put forth my proposal in the fall.

E: Do you have any idea of what your thesis proposal will be?

H: Yeah, so I learned that you’re not supposed to propose until you’ve already finished some of the work. That way, you’re not proposing something you’ve never done but you’re proposing something you’ve already tried out, so you know it has a chance of working.

People usually propose when they have 20 – 40% of the work done, in our department. I’m hoping it’s going to be about expressive motion. Basically, how can the non-anthropomorphic be expressive. I’m interested in how motion can describe the state of a relationship; “Do I know you?” “Do I not know you?” “Do I like or dislike you?” “Are you my boss, or am I your boss?” Power relationships are important. Then there can be room for emotions. Or, something else that’s interesting, is trying to measure how much a robot is in a rush by how quickly it’s going. We can see that with drivers and cars now. It’s just a question of whether we can categorize that in a general way.

I might get better at my elevator pitch in a couple of years, but the basic idea is to see if there are some universals of expression that we can distill to use on non-anthropomorphic robots. It’s basically robot body language.

E: What got you interested in robotics?

H: I didn’t grow up obsessed with robots. I fell in love with robots when I started building them. So, I went home in my Freshman year at MIT, and I was talking to people in my living group and I was asking about an internship. Someone said, “Hey! I work in a robotics lab. I could probably get you a position.”

So, I just started working there, January — maybe 2002. Over the summer, it was the first year my professor, Cynthia Breazeal, was a professor, and we had this big group project to kick off our research group. We built this big interactive terrarium and brought it to a big conference in San Antonio, and we were in the emerging technologies exhibit. You know, it was kind of like Epcot center. There was this big robot that had this hand-thing that would see people, say “Hello!” and then it would get bored and then go play in the waterfall, then it would get tired and turn in for the night in this cave. We went really crazy. There were these rock crystals that would turn on, and these drums you could play with, and these fiber optic tube worms that I got to put together. I was 18 and it was awesome. By the end of the 5 days, I could restart the whole system myself and I could talk to all these different people. It wasn’t just getting to build the robot and see it move, it was seeing people interact with the robots.

E: What do you feel that sets you apart from other roboticists?

H: I don’t know. I definitely have fun with what I do. My father was an engineer, and he would design propulsion systems for ships and submarines. He’s really great at math and physics. My mother was a Peace Corp volunteer, and all about international understanding, so she really wanted to impact the world.

I like building things and I like solving problems, and then my mother’s voice is in the back of my head saying “Well, why do people care about this?” I think that’s one of the reasons I didn’t want to do space stuff anymore. I wanted to impact real human beings. So, I don’t know how different that is but I really like imagining the future.

E: What’s your favorite project that you’ve worked on so far?

H: Well, if you asked what my favorite robot is, then I would be in really big trouble back at home if I didn’t say Data.

I don’t know, there have been so many projects I’ve been involved in in different ways. So, the precursor to the Rube Goldberg machine on Youtube is the OK Go music video. That was the project where I thought, “Oh my god, you could learn so much from professionals.” The band made that machine so much cooler than if we had built it by ourselves. They are professional entertainers and they have this intuition about what audiences care about and how to reach people. It’s part of the motivation I’ve gained in wanting to work with actors.

What I left out before, I want to work with actors, dancers, directors to help craft these expressive emotions that I’m trying to find universals for in robots. I’m really interested in seeing how we can adopt bodies of knowledge from theater into robotics. Or from disclipines of art that people have been spending hundreds or thousands of years honing. Rather than trying to reinvent the wheel as engineers, where we can make engines work, suddenly we’re trying to make these socially intelligent machines out there. Like, are engineers really the best people to be making socially intelligent machines? There’s some sort of weird clash there.

So, I’m trying to distill knowledge from a non-technical field into a world where you can program stuff. Some of that has been about creating interfaces where you can have kinetic conversations.

E: How would you explain social robotics and it’s significance to the average person?

H: Social robotics is the idea that you can make the human-robot interface smooth. So, instead of teaching you how to program the robot, you can just walk up to the robot and communicate and figure out the interface for it.

Social robotics is super-important if you ever want to have humans and robots working together that aren’t programmer-robot. Right now, we don’t really have that. We have tons of robots for industry manufacturing floors, to sort our mail, and we have sent them to the surface of Mars. But, to do every-day things with robots, we have to create an interface to make that possible.

E: What’s the idea Marilyn Monrobot labs and what drove you to start it?

H: I’m really interested in the intersection between robotics and theater. As much as I get to explore that as a researcher, I also think there is artistic value to that intersection. Marilyn Monrobot lets me explore that. So, it’s the umbrella name for our robot theater company. It’s where we do our robot-comedy stuff and the robot film festival. Last year, we did a robot cabaret variety show with 10 acts, exploring how the modern world is already a cyborg society because of our interdependence on phones. It’s allowed us to consider the changing ethical ramifications of our changing relationships with each other, via technology. Like, you hear about Freshmen who arrive at their new college and they have like 200 Facebook friends at their new college but they don’t know how to talk to someone at the orientation party. So, are we losing our humanity to technology? Obviously, I’m not a pessimist about technology but I think it’s equally naive not to think through where technology can go.

E: How did you decide on the name, Marilyn Monrobot?

H: Well, the JPL is really flat. You don’t really have parking garages in earthquake country, so instead we had this 20 minute walk from my office to the enormous parking lot. Of course, seniority is how you actually get close to your office, but since the average age there is 50-something and the average working-span is 30-years, we were kind of the kids. So it just kind of came to me walking through the parking lot.

I also found out later that Marilyn Monrobot was a Futurama episode, or it was a segment, which is fantastic. I didn’t know about that at the time. But, it’s supposed to represent this intersection between robotics and entertainment.

E: Could you tell us about the robot census and how that’s going?

H: So, the robot census started when I first arrived at Carnegie Mellon University. They do this thing where when you first arrive, you don’t know who your adviser is going to be but that is your most important relationship during your PhD. The average time for the degree is 5 and a half years, so some call it the marriage process. It’s longer than some marriages.

I was going to school and there were 500 other people working in robotics in some capacity, and we’re supposed to choose our adviser out of the 80-something professors. We didn’t even know who had what robot. Like, I’m at the Robotics Institute and, obviously I have to partially choose my advisers by what kind of robots they have, right? If this is our marriage, then they have children.

So, I started this census on campus and people thought it was interesting and I opened it up to the world. I think it should be done every four years, kind of like this other census you may have heard of that involves the population of the United States.

E: Is it difficult rounding up information for the robot census?

H: Yeah, even in person on campus. I think campuses should run their own censuses and collect information. We had to had out physical forms and then send links out to the digital form. It was like marketing. I had no idea, but you should feel okay sending up to ten reminders. But we didn’t do that, we went in person after a while. So, there were a few that probably slipped through the cracks but I’m sure that’s true of other censuses.

E: How many robots have you documented?

H: We’ve documented 547 robots on campus. There’s an off-campus facility for robotics, but we didn’t do the census there, though I would love to expand to that.

E: Do you feel that the anxiety people have could be attributable to the perceived lack of sociability of robots?

H: No, I think it’s religion. Fear of robots is a Western culture thing. It’s this idea that we’re usurping the role of God, and it’s kind of like Frankenstein because we’re doing what we should not be doing — you know, what we’re doing is wrong and we will be punished. It’s tapping into mythology.

Storytelling is a cultural phenomenon. It’s not based in reality. It’s based in human perception and culture and so on. So this idea that we’re not supposed to be playing God, and if we try to play God it will go really wrong, that’s a religious thing, in my opinion and others people’s opinion. This is well documented.

Now, if you look at the Shinto faith, they believe that all objects, people, animals, mountains, have the same spirit. There is no hierarchy. They have a really high value of nature, and rocks, and robots, so spiritually everything is on equal footing. The other detail that they have is that these spirits naturally want to be all in harmony. So, when you look at Frankenstein or the Terminator versus… Astroboy, that’s revealing our culture. It’s not about the technology; it’s about the belief system. Regardless of whether you were raised going to church or temple, this permeates our culture.
So, like even in Japan where a lot of people are Christian now, this Shinto belief system has permeated their expectations of what happens with technology.

E: Do you see the robotics industry trending toward social robotics?

H: It’s early research now, but I think charismatic machines have more applications in the short term. Social robotics may be a little longer. Like, the idea of Siri being really popular. That’s a charismatic technology. I think what we learn in social robotics can be cross-applied into real technology because what we’re doing is creating interfaces between technology and people. So, what we learn about sociability can be applied to non-social robot machines. Hiroshi would probably have a different opinion there.

E: What do you find is the biggest barrier in getting people interested in robotics? Do you think it’s exclusively religion or cultural?

H: When people don’t meet it and they’re just thinking theoretically about technology, then you get the Terminators and then you have the Singularity people. Those are like the two most popular mythmaking things at the moment. That doesn’t mean we don’t have positive storytelling. I mean, we have Rosie the Robot and we have Wall-E. I think stories really inspire what we make.

Throwing back to the previous conversation of robots in Japan, they invest so much in companion robots and music and things for the elderly, etc. And what is the U.S. known for in robotics innovation right now? The biggest is military robots. That doesn’t mean there’s not a lot of research in other kinds of robots, but what we’re famous for is military robots.

E: Do you have an end-goal for your research and projects?

H: Shape the future.

E: Are you concerned about people using your technology for negative instances?

H: I think it’s really important to think about that. I should think that would be a common part in engineering education in general, thinking through the ethics and where you’re going with stuff. I think in the world of art, and even architecture, critique is a natural part of the process. And it would be great if we would not only critique our designs based on needing to meet certain performance criteria, and the bigger grant organizations like the National Science Foundation, do ask for broader impact stuff, but they don’t really ask how things can be misused.

E: Do you think there’s a reason for that?

H: For me, and this is theoretical, engineers were never the heads of companies. They were the people who could help the people who started the companies solve specific problems. Historically, in this bigger company construct, our job is not to be creating ideas. These days, withink the last 30 years, engineers and technologists are starting companies and we are the idea people but the education hasn’t shifted. So, we’re still educated as if we are cogs in the larger industrial machine, whereas other people are thinking about “Where is this going?” Sometimes that’s about money but at least there was someone to think about that stuff. Maybe they had training in that, I don’t know.
But, I think it’s a legacy from engineers jobs before.

E: Kind of shifting gears, it seems like robotics, and technology in general, has drawn more men to the field than it has women. From your experience, do you feel that’s the case?

H: Well, I was spoiled because MIT is like 45% women. So, I didn’t really feel that way. When I worked, it was something like 1/3 women and 2/3 men ratio in the U.S. In Europe, it’s more like 9/10 male and 1/10 female.
I never really thought about it until I was several years into doing what I was doing. I always idolized my dad, so I kind of always felt like I wanted to be an engineer. I mean, there are definitely some legacy issues with gender, but things are moving in the right direction for sure. I think it’s much easier to change things at the undergraduate level, but it takes much longer for those changes to percolate into other levels of companies or academia. And you definitely get an idea of that, like, for example, I’m pregnant right now and CMU has no maternity leave policies. And I don’t know, academia just doesn’t think about those things sometimes.

E: Is there anything more that can be done to draw women into the field?

H: We’re actually doing a great job at attracting people, but we’re not doing so great at keeping people.

E: Why?

H: I think there are a lot of great articles about it. I think one of the titles of the articles is The Leaky Pipeline. I don’t know, people identify things like mentoring. It’s really important to have a good mentor, no matter what the gender is, according to research. Just having someone support you, whether you’re a minority, female or any other group that isn’t typically represented.

Since I’m really excited about a world where engineers aren’t just cogs in the machine, and that engineers really are creative, the more you move into that direction, the wider the breadth of people, whether it’s male or female. Just getting more creative people in the field and I would love to see that prioritized.

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On February 6, Dr. Hiroshi Ishiguro, Professor of Department of Systems Innovations at Osaka University, traveled to the Japan Society in New York City to give a lecture on the future prospects of humanoid robots — or androids. My wife, Jen, and I made the trip, as well.

The theater at the Japan Society was packed, and covered all ages. There was a bustling energy to the evening, and a slide featuring the Gemenoid-F android was projected prominently. The title on the slide was “Studies on Humanoids and Androids,” though the official title of the lecture was “How to Create Your Own Humanoid.” After everyone settled in, Dr. Ishiguro was introduced and he began.

He is a stately looking man and he did take a professorial stance at the podium. Through the lecture, he gave an overview of his work in android development and what he saw in its future. His talk was divided up in a manner of questions that, as a whole, asked if the line between human and robot would ever diminish. In so many words, the answer: it’s unlikely right now.

The Dr. came to explain that there are so many nuances in human behavior and speech that it would be incredibly difficult to create a robot that could act fully human. It’s a little akin to the Replicants in Blade Runner — “we” had created robots (“Replicants”) that could mimic humans in most ways, but that you could still tell, with a test, whether someone/something was human or Replicant. He even offered up a paradox; with robots, we can create the “perfect” human but then you can’t make a robot human.

He made this point through a number of examples, the most prominent is trying to agitate an android by repeated poking. Its behavior wouldn’t deviate accordingly. Humans have odd ways of reacting to stimuli that robots aren’t capable of. However, to illustrate the point that we can make, at least, “perfect” looking robots, he put up a video of a busy cafe and asked us to point out which one was the robot. I certainly couldn’t.

The unreality of robots aside, Dr. Ishiguro explained that his real motivation behind studying robots is human psychology. The example that stands out to me at this moment, is when he explained an experiment he did with one of his androids. While he was in Osaka, he directed some colleagues to plant an android in a cafeteria in Munich. From Osaka, he spoke through the robot and invited people to come, sit and speak with it. What he found was that people were more than willing to open up and spill about their problems. It was intriging, and I imagine people feel comfortable talking to the robot because of a perceived lack of judgement.

It’s examples like that which drew Dr. Ishiguro to robotics, rather than necessarily making the next big technological advance. With that, the lecture came to a close and the panel with Heather Knight, of Marilyn Monrobot, and Erico Guizzo, of IEEE Spectrum, began.

The panel was kicked off by a poem reading by the Gemenoid-F android, which was equal parts beautiful and creepy. After, Guizzo moderated the discussion between Knight and Dr. Ishiguro. The talk weaved between use of robots in theatrical settings and where social robotics is going. Knight explained her interest in robotics and using her robots in theatrical settings.

After the discussion, the floor opened up to questions. For a night that was dominated by non-technical subjects and trying to have robotics reach a wider audience, the questions were — somewhat disappointingly to me — mainly geared toward the technical aspects of the Gemenoid or the technical aspects of robotics.

Once the talk let out, there was a small reception. After it all wrapped up, we sat down with Heather Knight for a wide-ranging discussion. That interview will be posted up tomorrow.

Were you at the discussion, too? Let us know what your experience was on twitter @RobotCentral.

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DARPA Robotics ChallengeAs previously posted, the DARPA Robotics Challenge is on. This year the challenge will focus on disaster response, which was inspired by the “Fukushima 50″ — 50 brave people who were instrumental in containing the post-tsunami Fukushima nuclear plant disaster. There are several “Tracks” for participants to compete in:

  • Track A: these teams will design their own robot and write the software for it
  • Track B: these teams will create software for Boston Dynamic’s Atlas robot
  • Track C: these are international teams which can write software based on DARPA’s DRC Simulator
  • Track D: these are teams that want to participate, but not use DARPA money

So far, the Track A teams have been announced. Most of the teams will be building bi-ped, humanoid robots but the one that caught my attention was the NASA-JPL project: RoboSimian.

The RoboSimian, as the name implies, works like a chimp. It has four limbs, which are designed for stability and to grab things with all its limbs. I’m struck by this design mostly for the stability angle.

I’m going to digress here a little: the precursor to Boston Dynamic’s Atlas robot, the Pet Proto, is apparently limber but it also looks like it could come crashing down with relative ease. Obviously, the ability to make it stable is there, though, one thing I’ve been constantly reminded of is the difficulty in creating a robot that can efficiently mimic human movement. On the other hand, take a robot like the BigDog which works on four legs. You can see how well it stands up even when someone is trying to kick it down.

That’s not to say that stability is necessarily an issue for the other humanoid robots, but I have to wonder how well they can move and maneuver compared a four-legged robot.

The other robot that I’ll be following closely over the course of the challenge is Virginia Tech’s Tactical Hazardous Operations Robot a/k/a THOR:

Virginia Tech proposed to develop THOR, a Tactical Hazardous Operations Robot, which will be state-of-the-art, light, agile and resilient with perception, planning and human interface technology that infers a human operator’s intent, allowing seamless, intuitive control across the autonomy spectrum. The team will emphasize three essential themes in developing THOR: hardware resilience, robust autonomy and intuitive operation.

The goals of autonomy and intuition make this project well worth watching.

Once the Track B projects are announced, we’ll comb through those as well. Let us know which project you’re most excited about, or if you’re just plain excited about the whole Robotics Challenge. Our Twitter is @RobotCentral or you can hit us up on our Facebook page here.

Image credit DARPA Robotics Challenge.

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DARPA announced that their robotics challenge this year will be for disaster-response robots:

Natural and man-made disasters have caused suffering for people around the world, in past ages, today, and surely tomorrow. The devastation of disasters such as Fukushima, the Deepwater Horizon oil spill, and the Chilean Copiapó mine collapse all serve to highlight our fragility in the presence of unforeseen events. Often, subject matter experts are available with the knowledge to prevent further damage, yet are unable to get close enough to complete their mission – be it from nuclear contamination, intense pressure, structural instability, or many other threats to human safety. Our best robotic tools are helping, but they are not yet robust enough to function in all environments and perform the basic tasks needed to mitigate a crisis situation. Even in degraded post-disaster situations, the environment is scaled to the human world, requiring navigation of human obstacles such as doors and stairs, manipulation of human objects such as vehicles and power tools, and recognition of common human objects such as levers and valves.

Registration information is available here.

Last August, IEEE Spectrum published a blog from a robot operator in the Fukushima disaster. It is an interesting diary for robot enthusiasts and casual readers alike.

On Friday, October 24th, SciVestor and The Singularity Institute present the Emerging Technologies Workshop. This event is sold out, and is being held at The Tech Museum of Innovation in San Jose, CA. The day’s agenda follows:

Schedule

8:30am Doors open
9:00am Registration – coffee and breakfast bar available
9:30am Opening Keynote – Jonas Lamis, SciVestor
10:00am Semantic Web panel + Q&A
11:00am Break
11:15am Introducing CLIMOS
11:40am Introducing m2mi
12:00pm Lunch (offsite)
1:15pm Nanotechnology Panel + Q&A
2:15pm Break
2:30pm Introducing Piryx
2:50pm Robotics panel + Q&A
3:50pm Closing Keynote – Jamais Cascio, IFTF
Event concludes at 4:30pm.

Speakers

Keynotes

Jonas Lamis Exec Director SciVestor
Jamias Cascio Analyst Institute for the Future

Semantic Web Panel

Josh Dilworth Manager Porter Novelli
Chris Morrison Editor Venturebeat
Thomas Dietterich Professor University of Oregon
Dag Kittlaus CEO stealth-company.com

Nanotechnology Panel

Andrew Braswell Director of Research iNano Capital
Christine Peterson President Foresight Institute Nano panelist
Jamais Cascio Director Center for Responsible Nanotechnology
Douglas Jamison President Harris & Harris Group
Christopher Anazalone President & CEO Arrowhead Research Corp

Robotics Panel

Jonas Lamis Exec Director SciVestor
Dan Kara CEO Robotics Trends
Bruce Hall President Velodyne LIDAR
Chetan Kapoor CEO AgilePlanet
Trevor Blackwell CEO Anybots

Company Presentations

Dan Whaley CEO Climos
Geoff Brown CEO m2mi
Tom Serres CEO Piryx

SciVestor took a tour of the Robotics Pavilion at National Instruments’ NI Week 2008.  Anu Saha, NI marketing manager discusses academic and corporate partnerships that feature LabView and CompactRIO technologies.

Intel CTO and Ray Kurzweil Among Visionaries Headlining Singularity Summit 2008: Opportunity, Risk, Leadership

SAN JOSE, CA, August 29, 2008 – Singularity Summit 2008: Opportunity, Risk, Leadership takes place October 25 at the intimate Montgomery Theater in San Jose, CA, the Singularity Institute for Artificial Intelligence announced today. Now in its third year, the Singularity Summit gathers the smartest people around to explore the biggest idea of our time: the Singularity.

Keynotes will include Ray Kurzweil, updating his predictions in The Singularity is Near, and Intel CTO Justin Rattner, who will examine the Singularity’s plausibility. At the Intel Developer Forum on August 21, 2008, he explained why he thinks the gap between humans and machines will close by 2050. “Rather than look back, we’re going to look forward 40 years,” said Rattner. “It’s in that future where many people think that machine intelligence will surpass human intelligence.”

“The acceleration of technological progress has been the central feature of this century,” said computer scientist Dr. Vernor Vinge in a seminal paper in 1993. “We are on the edge of change comparable to the rise of human life on Earth. The precise cause of this change is the imminent creation by technology of entities with greater than human intelligence.”

Singularity Summit 2008 will feature an impressive lineup:

* Dr. Ruzena Bajcsy, pioneering AI and robotics researcher
* Dr. Eric Baum, AI researcher, author of What is Thought?
* Marshall Brain, founder of HowStuffWorks.com, author of Robotic Nation
* Dr. Cynthia Breazeal, robotics professor at MIT, creator of Kismet
* Dr. Peter Diamandis, chair and CEO of X PRIZE Foundation
* Esther Dyson, entrepreneur, investor, philanthropist
* Dr. Pete Estep, chair and CSO of Innerspace Foundation
* Dr. Neil Gershenfeld, director of MIT Center for Bits and Atoms, author of Fab
* Dr. Ben Goertzel, CEO of Novamente, director of research at SIAI
* John Horgan, science journalist, author of The Undiscovered Mind
* Ray Kurzweil, CEO of Kurzweil Technologies, author of The Singularity is Near
* Dr. James Miller, author of forthcoming book on Singularity economics
* Dr. Marvin Minsky, one of AI’s founding fathers, author of The Emotion Machine
* Dr. Dharmendra Modha, cognitive computing lead at IBM Almaden Research Center
* Bob Pisani, news correspondent for financial news network CNBC
* Justin Rattner, VP and CTO of Intel Corporation
* Nova Spivack, CEO of Radar Networks, creator of Twine semantic-web application
* Peter Thiel, president of Clarium, managing partner of Founders Fund
* Dr. Vernor Vinge, author of original paper on the technological Singularity
* Eliezer Yudkowsky, research fellow at SIAI, author of Creating Friendly AI
* Glenn Zorpette, executive editor of IEEE Spectrum

Registration details are available at http://www.singularitysummit.com/registration/.

About the Singularity Summit
Each year, the Singularity Summit attracts a unique audience to the Bay Area, with visionaries from business, science, technology, philanthropy, the arts, and more. Participants learn where humanity is headed, meet the people leading the way, and leave inspired to create a better world. “The Singularity Summit is the premier conference on the Singularity,” Kurzweil said. “As we get closer to the Singularity, each year’s conference is better than the last.”

The Summit was founded in 2006 by long-term philanthropy executive Tyler Emerson, inventor Ray Kurzweil, and investor Peter Thiel. Its purpose is to bring together and build a visionary community to further dialogue and action on complex, long-term issues that may transform the world. Its host organization is Singularity Institute for Artificial Intelligence, a 501(c)(3) nonprofit organization studying the benefits and risks of advanced artificial intelligence systems.

Singularity Summit 2008 partners include Clarium Capital, Cartmell Holdings, Twine, Powerset, United Therapeutics, KurzweilAI.net, IEEE Spectrum, DFJ, X PRIZE Foundation, Long Now Foundation, Foresight Nanotech Institute, Novamente, SciVestor, Robotics Trends, and MINE.

Robotics Trends has just announced the line up for the Robo Development Conference and Expo ’08, to be held November 18-19 at the Santa Clara Convention Center.  SciVestor Executive Director, and RobotCentral contributor Jonas Lamis has been named as a Featured Speaker for the event.  Details are available here.

Intelligent Sensor Technologies 2010 to 2020: Impact and Implications for the Development Community

Track: Enabling Technology

Over the next decade, intelligent sensor technologies will perform increasingly important tasks in our vehicles, homes, workplaces, neighborhoods and even our bodies. Ubiquitous sentinels of behavior, sensors will dramatically reduce inefficiencies in the ways we work and live. However their emergence will also raise challenging questions of privacy, security and liability. In this session, Jonas Lamis, Executive Director, SciVestor Corporation, will present a cross-industry analysis of emerging sensor platforms and the implications on the development community. Key sensing concepts and companies will be examined and how applications that integrate sensors will enable our society. This session will also address the adoption challenges that these technologies will face as the public and political process becomes attuned to their emergence.

SciVestor spoke with Dan Kara, CEO of Robotics Trends. Robotics Trends is an events and research firm focused on the robotics industry. They run the RoboBusiness and RoboDevelopment events. He discusses the rise of autonomy, the future of the robotics industry, and offers advice to the investment community.

SciVestor Executive Director Jonas Lamis narrates the Autonomous Vehicle Roadmap that was presented at RoboBusiness 2008. This presentation is based in part on Robot Central’s observations, research, and opinions of emergent technologies from the DARPA Grand Challenge series of competitions. It highlights progress and challenges in the technologies necessary to facilitate civilian autonomous vehicles. Mr. Lamis discusses a plausible technology-driven autonomous vehicle roadmap from 2010 – 2020. The presentation highlights several emerging technology vendors including Velodyne, ibeo, Grey Matter, and TORC Technologies.


Jonas Lamis contributes to Robot Central, focusing on the business aspects of the robot economy. He also authors the weblog Singularity University and is an advisor to the Singularity Institute on Artificial Intelligence. Mr. Lamis is also the editor of Architecture and Governance Magazine, and writes and speaks frequently on enterprise software technologies.

In 2004 and 2005 came the DARPA Grand Challenges–competitions in which vehicles were expected to traverse hundreds of desert miles completely autonomously. In 2007, DARPA brought the robots into a suburban setting for the Urban Challenge.

Last August, we discussed ELROB, the European Land Robot competition in which robotic vehicles were challenged with traversing an off-road course autonomously or semi-autonomously. We responded to the EE times assertion that ELROB required “more autonomy” than did the USA’s DARPA Challenges. We were (okay okay, “I” was) offended.

Robots in the MoD Grand Challenge will be required to identify armed people in military-style clothing as potential targets.

And now we have the United Kingdom Ministry of Defence’s (“MoD”) Grand Challenge. The objective in this competition is to have robots identify enemy threats within an urban setting using as much autonomy as possible before any humans enter the combat theater. Robots are expected to identify:

  1. Improvised Explosive Device (IED)
  2. Marksman operating from a building.
  3. ‘Technical’ (civilian 4×4 with mounted heavy weapon) either in open or under cover.
  4. Armed people in military-style clothing.

“The targets will be placed in a variety of types of location varying from in-the-open to the fully obscured. More credit will be given for those targets that are obscured or partially obscured.” This truly a difficult competition. As somebody familiar with the difficulty in the kind of object recognition required to achieve these objectives, I predict no participant will complete the objectives to the satisfaction of the judges.

Copehill Down will be the site of the MoD Grand Challenge.Like the Grand Challenges, there have been many phases throughout the competition. And like the Grand Challenges, it all comes down to one final event. This final event is set to take place in Copehill Down, shown in the image at the right. The date has been stated as “Summer 2008.”

Participants have been using all the resources at their disposal from mobile vehicles to unmanned aircraft. The model is generally that robots on the ground are in communication with bots in the air which collectively provide information to a central station. Although humans are allowed to interpret the data and even guide the robots, the spirit of the competition is intended to relieve the human of most of the burden of identifying the risks.

This scenario is a perfect opportunity for builders to leverage technologies that have emerged from DARPA’s Challenges such as Gray Matter, Inc.’s AVS and TORC’s AN-100 autonomy-in-a-box products. These American-made technologies have commoditized excise tasks such as navigation and obstacle avoidance and would allow MoD GC participants to focus on their higher level applications.

I have been unsuccessful in accessing Dragonfly Air Systems to directly validate the existence of this dual-rotor helibot. If a reader happens to validate the existence of this robot, I’d appreciate an email or a post on it.

Sources:

New free research presentation available from SciVestor. You can download it here.

This presentation is being presented at RoboBusiness 2008. It highlights progress and challenges in the technologies necessary to facilitate civilian autonomous vehicles. We discuss a plausible technology driven autonomous vehicle roadmap from 2010 – 2030. The presentation highlights several emerging technology vendors including Velodyne, ibeo, Grey Matter, and TORC Technologies.

We present Renteria’s Hierarchy of Autonomy Needs – from Sensory Enablement to Basic Navigation to Business Logic. We discuss the fulfillment of these needs over the course of the three Grand Challenges. We lay out an autonomous vehicle roadmap and discuss key inflection points including: 1) The Cambrian technology explosion. 2) Adoption Hill. 3) The Plateau of Tenacity. SciVestor predicts adoption rates, reduction of fuel consumption, and vehicle deaths in 2020.

Authors: Ray Renteria and Jonas Lamis
Date: April 2008
Length: 32 pages
Research ID: 08R-002
Concepts Discussed: Grand Challenge, Urban Challenge, Autonomous vehicles, Prometheus Project, Stanley, Boss, Velodyne, ibeo, Grey Matter, TORC Technologies, roadmap

Chris YatesIn what seems to be a recurring theme among DARPA Urban Challengers, these guys have greater ambitions than winning the race. “The goal was to be a strong performer, not necessarily win,” Chris Yakes, Director of the Advanced Products Group for Oshkosh, said.

Yakes explained that his team is developing an autonomous system in kit form similar to other kits the company provides to its military customers. Approximately 30% of Oshkosh’s business is in the military sector. The price of the kit will be comparable to the cost of their armored vehicle kit.

The kit still needs a little bit of fine-tuning. “We’re a couple of years from having a final product but we’re ready now to start doing demonstrations. By demonstrations I mean offering a vehicle (retrofitted with the kit) to a customer and letting them see first hand how it performs.” Yates went on to explain that variations of the autonomous system might be ready sooner. A semi-autonomous follower / leader system, for example, might be applied in a convoy of several vehicles in which only one contains a human driver or it is teleoperated.

Oshkosh has made some very overt technical design decisions based on the deep knowledge it has of its customer base. Their systems must be able to perform in very harsh environments and remain highly dependable for decades. “Our trucks live about 20 years. The system we provide must last at least that long.” Yates explained that they bias their technology selection to those without moving parts. Their computers are commercial off-the-shelf (“COTS”) systems that are cheap, easily replaced, and very durable. Oshkosh also depends more on computer vision than any other team that performed in the competition because cameras can be very rugged as they have no moving parts.

Computer vision is the method of identifying characteristics of a scene from digital images. Algorithms vary substantially depending on the desired data. Streoscopic vision, for example, requires two side-by-side cameras each generating an image of the same scene each from a slightly different perspective. The software behind this configuration finds objects of one image in the other. If the software finds the object in the same position on both images, the element is deemed to be far away. If the software finds that the object’s position has “shifted,” the object can be characterized as being closer to the cameras. The greater the shift, the closer the object is. From such information a 3D representation of the scene is constructed. Oshkosh is working with the University of Parma in Italy to develop the software behind their computer vision system.

Biasing towards cameras does not necessarily make them the only sensor in the kit. Oshkosh has also chosen to use ibeo LIDAR scanning technology to supplement their computer vision system. Yates was very reserved when asked details about other systems they evaluated and why they chose ibeo; however, he did explain the role of the ibeo. There are three units on the vehicle–two forward units and one rear. The units are used to identify obstacles.

During a conversation with 3rd-Place winner Virginia Tech Team Leader Charles Reinholtz about their own implementation of the ibeo sensors, Robot Central learned that there were occasions that the ibeo would be blinded and the system would require a reboot. There was at least one time when their robot, Odin, paused itself for approximately 90 seconds while it rebooted its ibeo systems. Team Oshkosh was eliminated when their robot threatened to bring down a building after it ran off the course and met a load-bearing pillar. As of the writing of this article, it was unclear if any contact was made nor was it clear if the failure was due to the ibeo issue described by Virginia Tech.

Nevertheless, Oshkosh is optimistic about its future role in saving the lives of American soldiers. And it should be. The sensor vendors will address their issues and Oshkosh will continue to mature its product. Oshkosh’s performance in the 2005 Grand Challenge and in this year’s 2007 Urban Challenge has very effectively demonstrated its technical and business prowess.

Terra Max

Tartan Racing’s “Boss” of Pittsburgh, Penn. turned in the top performance in the Defense Advanced Research Projects Agency (DARPA) Urban Challenge and won the $2 million cash prize as the competition’s first-place winner, DARPA announced today. Stanford Racing’s “Junior” of Stanford, Calif., won the $1 million second place prize, while Victor Tango’s “Odin” of Blacksburg, Va., received $500,000 for finishing third.

Tartan Team Photo

In a press briefing Dr. Tether explained that the teams each completed their missions approximately 20 minutes of each other. All performed well although he explained that he offered advice to Carnegie Mellon and Stanford during the National Qualifying event. “Carnegie Mellon was a little too aggressive in its driving. We told Stanford that they were too conservative. I don’t think we offered any advice to Victor Tango.” Virginia Tech team leader Charles Reinholtz chimed in, smiling, “We didn’t need any advice. We were just right.”

The competition is not quite over; however, three of the final six teams have met their mission objectives already. Who ranks 1st, 2nd, and 3rd is still to be determined as judges calculate each of the robot’s penalties and running times. Considering the substantial margin and relatively low number of penalties for Stanford’s Junior, Carnegie Mellon’s Boss, and Virginia Tech’s Odin, chances are very good that the top three positions will be filled by these three teams.

DARPA will announce the final scores Sunday.

Junior

Boss Medium

Odin

I doubt the insurance company is going to cover this collision.

At 12:35 PM local time Cornell’s robot, Skynet, stopped itself in front of MIT’s robot.  Skynet stayed there long enough that MIT’s robot made an executive decision to pass.  It successfully passed Skynet’s DARPA chase vehicle.  As MIT approached  Skynet, it made another executive decision to pass.  MIT began the procedure very elegantly.  It went around Skynet and as it proceeded to reenter the lane in front of Skynet, Skynet began to drive forward.

Stanford’s robot, Junior, was paused because it was on its way to the wreck.  The vehicles were separated and both are proceeding.  Stanford was resumed.   At risk is the performance of the impacted sensors.  It appears that all systems are behaving well and all vehicles are still in the race.

Photos from the Tent

I’ve been talking to a lot of people about all sorts of technologies and programming algorithms. I took a minute to break out of that mode to absorb the ambiance here today. It’s unlike anything I’ve ever experienced including the 2005 Grand Challenge tent. The ’05 tent was mostly occupied by engineers and media. The feed was very structured and the updates looked more like a giant video game than a feed.

In The Tent

This year, the feed is nicely produced and augmented with very professional commentary. I thought I’d take a break from the technology to describe this experience.

Outside this massive tent you can hear helicopters. Inside you hear the murmur of hundreds, maybe thousands of people. On occasion, the murmur erupts into a loud cheer of appreciation for the intelligence required to drive the course as the robots show off on the three massive projection screens at the front of the tent.

Dad and Child

What is striking about this year’s event is the number of families and kids present. In this tent, there are armed guards, brilliant scientists, demonstrations of history-making robots, and families of all sorts of backgrounds. This is Americana at its best.

DARPA sure knows how to throw a party.

Mom, Dad, and ChildThe teams definitely have a substantial cheering section with future scientists enjoying the shiny cars and all the great stuff around them.

At the same time, there are those who are working feverishly to keep the outside world up-to-date on today’s happenings. The media table is crowded and there are cables everywhere.

Media

And now I’m smelling food.

 

A spectator favorite, Team Oshkosh’s Terra Max literally almost took out a building. At this point, it’s unclear what went wrong. There was aerial video footage that showed Terra Max butted up against a brick pillar. I don’t know if there was contact.

Annie Way placed itself in pause mode and DARPA made a decision to pull her out.

Update: As of 10:38 AM local time, Team UCF is out of the race.

Update: As of 11:07 AM local time, CarOLO is out of the race.

This morning’s launch was relatively smooth. Intelligent Vehicle Systems had some trouble when it saw a k-rail and paused itself for too long. DARPA allowed the team to reset and reposition itself for a relaunch. Their relaunch was successful and they’re doing well now. As a matter of fact, as I type this, I witnessed IVS perform a fantastic maneuver while it avoided car # 26, Cornell.

Cornell was in the wrong lane. When IVS came upon it, face-to-face, it avoided a collision and made the decision to pick the least of the evils to go around it. It hopped a curb, slightly, to avoid Cornell’s robot.

Car #62, Team CarOLO threw itself into Pause mode after it lodged itself on a berm in the off-road portion of the course. We’re waiting for an update on that.

Team Annie Way is stopped for undetermined reasons at an off-road intersection.

You can keep up to date with the very dramatic real-time video feed with excellent commentary at http://www.grandchallenge.org/darpauc07/watchtherace/livevideo.html.

Just minutes ago, Dr. Tony Tether announced the pole positions of the robots as they are unleashed into a simulated urban environment at the Urban Challenge Final Event Saturday.  The environment is simulated only in that human-driven vehicles will have roll cages and six point harnesses and all the drivers will be wearing protective head gear. Otherwise, there is nothing simulated about the environment in which the robots will be driving.

The pole positions are:

  1. Tartan
  2. Victor Tango
  3. Stanford
  4. Ben Franklin
  5. Team UCF
  6. MIT
  7. Team Cornell
  8. “Our Nightmare” Team Oshkosh
  9. Honeywell / Intelligent Vehicle Systems
  10. Team AnnieWay
  11. CarOLO

Robots will be released in order of pole position. Dr. Tether jokingly qualified Team Oshkosh as “our nightmare” because its robot, TerraMax, has tires that are bigger than some of the robots.  The robots will all be operating concurrently, each following its own mission.

Robot Central will be there to watch the mahem, er, um, the competition.