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#440042 A Q-learning algorithm to generate shots ...

RoboCup, originally named the J-League, is an annual robotics and artificial intelligence (AI) competition organized by the International RoboCup Federation. During RoboCup, robots compete with other robots soccer tournaments. Continue reading

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#439938 Tiny bubbles: Researchers develop a ...

Princeton researchers have invented bubble casting, a new way to make soft robots using “fancy balloons” that change shape in predictable ways when inflated with air. Continue reading

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#439908 Why Facebook (Or Meta) Is Making Tactile ...

Facebook, or Meta as it's now calling itself for some reason that I don't entirely understand, is today announcing some new tactile sensing hardware for robots. Or, new-ish, at least—there's a ruggedized and ultra low-cost GelSight-style fingertip sensor, plus a nifty new kind of tactile sensing skin based on suspended magnetic particles and machine learning. It's cool stuff, but why?
Obviously, Facebook Meta cares about AI, because it uses AI to try and do a whole bunch of the things that it's unwilling or unable to devote the time of actual humans to. And to be fair, there are some things that AI may be better at (or at least more efficient at) than humans are. AI is of course much worse than humans at many, many, many things as well, but that debate goes well beyond Facebook Meta and certainly well beyond the scope of this article, which is about tactile sensing for robots. So why does Facebook Meta care even a little bit about making robots better at touching stuff? Yann LeCun, the Chief AI Scientist at Facebook Meta, takes a crack at explaining it:
Before I joined Facebook, I was chatting with Mark Zuckerberg and I asked him, “is there any area related to AI that you think we shouldn't be working on?” And he said, “I can't find any good reason for us to work on robotics.” And so, that was kind of the start of Facebook AI Research—we were not going to work on robotics.

After a few years, it became clear that a lot of interesting progress in AI was happening in the context of robotics, because robotics is the nexus of where people in AI research are trying to get the full loop of perception, reasoning, planning, and action, and getting feedback from the environment. Doing it in the real world is where the problems are concentrated, and you can't play games if you want robots to learn quickly.

It was clear that four or five years ago, there was no business reason to work on robotics, but the business reasons have kind of popped up. Robotics could be used for telepresence, for maintaining data centers more automatically, but the more important aspect of it is making progress towards intelligent agents, the kinds of things that could be used in the metaverse, in augmented reality, and in virtual reality. That's really one of the raison d'être of a research lab, to foresee the domains that will be important in the future. So that's the motivation.Well, okay, but none of that seems like a good justification for research into tactile sensing specifically. But according to LeCun, it's all about putting together the pieces required for some level of fundamental world understanding, a problem that robotic systems are still bad at and that machine learning has so far not been able to tackle:
How to get machines to learn that model of the world that allows them to predict in advance and plan what's going to happen as a consequence of their actions is really the crux of the problem here. And this is something you have to confront if you work on robotics. But it's also something you have to confront if you want to have an intelligent agent acting in a virtual environment that can interact with humans in a natural way. And one of the long-term visions of augmented reality, for example, is virtual agents that basically are with you all the time, living in your automatic reality glasses or your smartphone or your laptop or whatever, helping you in your daily life as a human assistant would do, but also can answer any question you have. And that system will have to have some degree of understanding of how the world works—some degree of common sense, and be smart enough to not be frustrating to talk to. And that is where all of this research leads in the long run, whether the environment is real or virtual.AI systems (robots included) are very very dumb in very very specific ways, quite often the ways in which humans are least understanding and forgiving of. This is such a well established thing that there's a name for it: Moravec's paradox. Humans are great at subconscious levels of world understanding that we've built up over years and years of experience being, you know, alive. AI systems have none of this, and there isn't necessarily a clear path to getting them there, but one potential approach is to start with the fundamentals in the same way that a shiny new human does and build from there, a process that must necessarily include touch.

The DIGIT touch sensor is based on the GelSight style of sensor, which was first conceptualized at MIT over a decade ago. The basic concept of these kinds of tactile sensors is that they're able to essentially convert a touch problem into a vision problem: an array of LEDs illuminate a squishy finger pad from the back, and when the squishy finger pad pushes against something with texture, that texture squishes through to the other side of the finger pad where it's illuminated from many different angles by the LEDs. A camera up inside of the finger takes video of this, resulting in a very rainbow but very detailed picture of whatever the finger pad is squishing against.

The DIGIT paper published last year summarizes the differences between this new sensor and previous versions of GelSight:

DIGIT improves over existing GelSight sensors in several ways: by providing a more compact form factor that can be used on multi-finger hands, improving the durability of the elastomer gel, and making design changes that facilitate large-scale, repeatable production of the sensor hardware to facilitate tactile sensing research.
DIGIT is open source, so you can make one on your own, but that's a hassle. The really big news here is that GelSight itself (an MIT spinoff which commercialized the original technology) will be commercially manufacturing DIGIT sensors, providing a standardized and low-cost option for tactile sensing. The bill of materials for each DIGIT sensor is about US $15 if you were to make a thousand of them, so we're expecting that the commercial version won't cost much more than that.

The other hardware announcement is ReSkin, a tactile sensing skin developed in collaboration with Carnegie Mellon. Like DIGIT, the idea is to make an open source, robust, and very low cost system that will allow researchers to focus on developing the software to help robots make sense of touch rather than having to waste time on their own hardware.
ReSkin operates on a fairly simple concept: it's a flexible sheet of 2mm thick silicone with magnetic particles carelessly mixed in. The sheet sits on top of a magnetometer, and whenever the sheet deforms (like if something touches it), the magnetic particles embedded in the sheet get squooshed and the magnetic signal changes, which is picked up by the magnetometer. For this to work, the sheet doesn't have to be directly connected to said magnetometer. This is key, because it makes the part of the ReSkin sensor that's most likely to get damaged super easy to replace—just peel it off and slap on another one and you're good to go.

I get that touch is an integral part of this humanish world understanding that Facebook Meta is working towards, but for most of us, the touch is much more nuanced than just tactile data collection, because we experience everything that we touch within the world understanding that we've built up through integration of all of our other senses as well. I asked Roberto Calandra, one of the authors of the paper on DIGIT, what he thought about this:
I believe that we certainly want to have multimodal sensing in the same way that humans do. Humans use cues from touch, cues from vision, and also cues from audio, and we are able to very smartly put these different sensor modalities together. And if I tell you, can you imagine how touching this object is going to feel for you, can sort of imagine that. You can also tell me the shape of something that you are touching, you are able to somehow recognize it. So there is very clearly a multisensorial representation that we are learning and using as humans, and it's very likely that this is also going to be very important for embodied agents that we want to develop and deploy.Calandra also noted that they still have plenty of work to do to get DIGIT closer in form factor and capability to a human finger, which is an aspiration that I often hear from roboticists. But I always wonder: why bother? Like, why constrain robots (which can do all kinds of things that humans cannot) to do things in a human-like way, when we can instead leverage creative sensing and actuation to potentially give them superhuman capabilities? Here's what Calandra thinks:
I don't necessarily believe that a human hand is the way to go. I do believe that the human hand is possibly the golden standard that we should compare against. Can we do at least as good as a human hand? Beyond that, I actually do believe that over the years, the decades, or maybe the centuries, robots will have the possibility of developing superhuman hardware, in the same way that we can put infrared sensors or laser scanners on a robot, why shouldn't we also have mechanical hardware which is superior?
I think there has been a lot of really cool work on soft robotics for example, on how to build tentacles that can imitate an octopus. So it's a very natural question—if we want to have a robot, why should it have hands and not tentacles? And the answer to this is, it depends on what the purpose is. Do we want robots that can perform the same functions of humans, or do we want robots which are specialized for doing particular tasks? We will see when we get there.So there you have it—the future of manipulation is 100% sometimes probably tentacles. Continue reading

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#439863 Q&A: Ghost Robotics CEO on Armed ...

Last week, the Association of the United States Army (AUSA) conference took place in Washington, D.C. One of the exhibitors was Ghost Robotics—we've previously covered their nimble and dynamic quadrupedal robots, which originated at the University of Pennsylvania with Minitaur in 2016. Since then, Ghost has developed larger, ruggedized “quadrupedal unmanned ground vehicles” (Q-UGVs) suitable for a variety of applications, one of which is military.

At AUSA, Ghost had a variety of its Vision 60 robots on display with a selection of defense-oriented payloads, including the system above, which is a remotely controlled rifle customized for the robot by a company called SWORD International.

The image of a futuristic-looking, potentially lethal weapon on a quadrupedal robot has generated some very strong reactions (the majority of them negative) in the media as well as on social media over the past few days. We recently spoke with Ghost Robotics' CEO Jiren Parikh to understand exactly what was being shown at AUSA, and to get his perspective on providing the military with armed autonomous robots.
IEEE Spectrum: Can you describe the level of autonomy that your robot has, as well as the level of autonomy that the payload has?

Jiren Parikh: It's critical to separate the two. The SPUR, or Special Purpose Unmanned Rifle from SWORD Defense, has no autonomy and no AI. It's triggered from a distance, and that has to be done by a human. There is always an operator in the loop. SWORD's customers include special operations teams worldwide, and when SWORD contacted us through a former special ops team member, the idea was to create a walking tripod proof of concept. They wanted a way of keeping the human who would otherwise have to pull the trigger at a distance from the weapon, to minimize the danger that they'd be in. We thought it was a great idea.
Our robot is also not autonomous. It's remotely operated with an operator in the loop. It does have perception for object avoidance for the environment because we need it to be able to walk around things and remain stable on unstructured terrain, and the operator has the ability to set GPS waypoints so it travels to a specific location. There's no targeting or weapons-related AI, and we have no intention of doing that. We support SWORD Defense like we do any other military, public safety or enterprise payload partner, and don't have any intention of selling weapons payloads.

Who is currently using your robots?
We have more than 20 worldwide government customers from various agencies, US and allied, who abide by very strict rules. You can see it and feel it when you talk to any of these agencies; they are not pro-autonomous weapons. I think they also recognize that they have to be careful about what they introduce. The vast majority of our customers are using them or developing applications for CBRNE [Chemical, Biological, Radiological, Nuclear, and Explosives detection], reconnaissance, target acquisition, confined space and subterranean inspection, mapping, EOD safety, wireless mesh networks, perimeter security and other applications where they want a better option than tracked and wheeled robots that are less agile and capable.

We also have agencies that do work where we are not privy to details. We sell them our robot and they can use it with any software, any radio, and any payload, and the folks that are using these systems, they're probably special teams, WMD and CBRN units and other special units doing confidential or classified operations in remote locations. We can only assume that a lot of our customers are doing really difficult, dangerous work. And remember that these are men and women who can't talk about what they do, with families who are under constant stress. So all we're trying to do is allow them to use our robot in military and other government agency applications to keep our people from getting hurt. That's what we promote. And if it's a weapon that they need to put on our robot to do their job, we're happy for them to do that. No different than any other dual use technology company that sells to defense or other government agencies.
How is what Ghost Robotics had on display at AUSA functionally different from other armed robotic platforms that have been around for well over a decade?

Decades ago, we had guided missiles, which are basically robots with weapons on them. People don't consider it a robot, but that's what it is. More recently, there have been drones and ground robots with weapons on them. But they didn't have legs, and they're not invoking this evolutionary memory of predators. And now add science fiction movies and social media to that, which we have no control over—the challenge for us is that legged robots are fascinating, and science fiction has made them scary. So I think we're going to have to socialize these kinds of legged systems over the next five to ten years in small steps, and hopefully people get used to them and understand the benefits for our soldiers. But we know it can be frightening. We also have families, and we think about these things as well.

“If our robot had tracks on it instead of legs, nobody would be paying attention.”
—Jiren Parikh
Are you concerned that showing legged robots with weapons will further amplify this perception problem, and make people less likely to accept them?
In the short term, weeks or months, yes. I think if you're talking about a year or two, no. We will get used to these robots just like armed drones, they just have to be socialized. If our robot had tracks on it instead of legs, nobody would be paying attention. We just have to get used to robots with legs.

More broadly, how does Ghost Robotics think armed robots should or should not be used?

I think there is a critical place for these robots in the military. Our military is here to protect us, and there are servicemen and women who are putting their lives on the line everyday to protect the United States and allies. I do not want them to lack for our robot with whatever payload, including weapons systems, if they need it to do their job and keep us safe. And if we've saved one life because these people had our robot when they needed it, I think that's something to be proud of.

I'll tell you personally: until I joined Ghost Robotics, I was oblivious to the amount of stress and turmoil and pain our servicemen and women go through to protect us. Some of the special operations folks that we talk to, they can't disclose what they do, but you can feel it when they talk about their colleagues and comrades that they've lost. The amount of energy that's put into protecting us by these people that we don't even know is really amazing, and we take it for granted.

What about in the context of police rather than the military?

I don't see that happening. We've just started talking with law enforcement, but we haven't had any inquiries on weapons. It's been hazmat, CBRNE, recon of confined spaces and crime scenes or sending robots in to talk with people that are barricaded or involved in a hostage situation. I don't think you're going to see the police using weaponized robots. In other countries, it's certainly possible, but I believe that it won't happen here. We live in a country where our military is run by a very strict set of rules, and we have this political and civilian backstop on how engagements should be conducted with new technologies.

How do you feel about the push for regulation of lethal autonomous weapons?

We're all for regulation. We're all for it. This is something everybody should be for right now. What those regulations are, what you can or can't do and how AI is deployed, I think that's for politicians and the armed services to decide. The question is whether the rest of the world will abide by it, and so we have to be realistic and we have to be ready to support defending ourselves against rogue nations or terrorist organizations that feel differently. Sticking your head in the sand is not the solution.

Based on the response that you've experienced over the past several days, will you be doing anything differently going forward?

We're very committed to what we're doing, and our team here understands our mission. We're not going to be reactive. And we're going to stick by our commitment to our US and allied government customers. We're going to help them do whatever they need to do, with whatever payload they need, to do their job, and do it safely. We are very fortunate to live in a country where the use of military force is a last resort, and the use of new technologies and weapons takes years and involves considerable deliberation from the armed services with civilian oversight. Continue reading

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#439815 How to Prepare Your Workforce for AI ...

Image by John Conde from Pixabay Despite a myriad of articles, research papers, and conversations regarding artificial intelligence and machine learning development, the predictions about its impact range significantly. The absolute majority agrees that AI is one of the keys to digital transformation and that it will change the business and job market forever. However, it’s …

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