Category Archives: Human Robots
#439380 Autonomous excavators ready for around ...
Researchers from Baidu Research Robotics and Auto-Driving Lab (RAL) and the University of Maryland, College Park, have introduced an autonomous excavator system (AES) that can perform material loading tasks for a long duration without any human intervention while offering performance closely equivalent to that of an experienced human operator. Continue reading
#439378 SoftBank Stops Making Pepper Robots, ...
Reuters is reporting that SoftBank stopped manufacturing Pepper robots at some point last year due to low demand, and by September, will cut about half of the 330 positions at SoftBank Robotics Europe in France. Most of the positions will be in Q&A, sales, and service, which hopefully leaves SoftBank Robotics’ research and development group mostly intact. But the cuts reflect poor long-term sales, with SoftBank Robotics Europe having lost over 100 million Euros in the past three years, according to French business news site JDN. Speaking with Nikkei, SoftBank said that this doesn’t actually mean a permanent end for Pepper, and that they “plan to resume production if demand recovers.” But things aren’t looking good.
Reuters says that “only” 27,000 Peppers were produced, but that sure seems like a lot of Peppers to me. Perhaps too many—a huge number of Peppers were used by SoftBank itself in its retail stores, and a hundred at once were turned into a cheerleading squad for the SoftBank Hawks baseball team because of the pandemic. There’s nothing wrong with either of those things, but it’s hard to use them to gauge how successful Pepper has actually been.
I won’t try to argue that Pepper would necessarily have been commercially viable in the long(er) term, since it’s a very capable robot in some ways, but not very capable in others. For example, Pepper has arms and hands with individually articulated fingers, but the robot can’t actually do much in the way of useful grasping or manipulation. SoftBank positioned Pepper as a robot that can attract attention and provide useful, socially interactive information in public places. Besides SoftBank’s own stores, Peppers have been used in banks, malls, airports, and other places of that nature. A lot of what Pepper seems to have uniquely offered was novelty, though, which ultimately may not be sustainable for a commercial robot, because at some point, the novelty just wears off and you’re basically left with a very cool looking (but expensive) kiosk.
Having said all that, the sheer number of Peppers that SoftBank put out in the world could be one of the most significant impacts that the robot has had. The fact that Pepper was able to successfully operate for long enough, and in enough places, that it even had a chance to stop becoming novel and instead become normal is an enormous achievement for Pepper specifically as well as for social robots more broadly. Angelica Lim, who worked with Pepper at SoftBank Robotics Europe for three years before founding the Rosie Lab at SFU, shared some perspective with us on this:
There has never been a robot with the ambition of Pepper. Its mission was huge—be adaptable and robust to different purposes and locations: loud sushi shops, quiet banks, and hospitals that change from hour to hour. Compare that with Alexa which has a pretty stable and quiet environment—the home. On top of that, the robot needed to respond to different ages, cultures, countries and languages. The only thing I can think of that comes close is the smartphone, and the expectation for it is much lower compared to the humanoid Pepper. Ten years ago, it was unthinkable that we could leave a robot on “in the wild” for days, weeks, months and years, and yet Pepper did it thanks to the team at SoftBank Robotics.
Peppers are still being used in education today, from elementary schools and high schools to research labs in North America, Asia and Europe. The next generation will grow up programming these, like they did with the Apple personal computer. I’m confident it’s just the next step to technology that adapts to us as humans rather than the other way around.
Pepper has been an amazing platform for HRI research as well as for STEM education more broadly, and our hope is that Pepper will continue to be impactful in those ways, whether or not any more of these robots are ever made. We also hope that SoftBank does whatever is necessary to make sure that Peppers remain useful and accessible well into the future in both software and hardware. But perhaps we’re being too pessimistic here—this is certainly not good news, but despite how it looks we don’t know for sure that it’s catastrophic for Pepper. All we can do is wait and see what happens at SoftBank Robotics Europe over the next six months, and hope that Pepper continues to get the support that it deserves. Continue reading
#439376 Japan’s SoftBank suspends ...
Japan's SoftBank has suspended production of its humanoid robot Pepper, a company spokeswoman said Tuesday, seven years after the conglomerate unveiled the signature chatty white android to much fanfare. Continue reading
#439374 A model to predict how much humans and ...
Researchers at University of Michigan have recently developed a bi-directional model that can predict how much both humans and robotic agents can be trusted in situations that involve human-robot collaboration. This model, presented in a paper published in IEEE Robotics and Automation Letters, could help to allocate tasks to different agents more reliably and efficiently. Continue reading
#439372 Legged Robots Do Surprisingly Well in ...
Here on Earth, we’re getting good enough at legged robots that we’re starting to see a transition from wheels to legs for challenging environments, especially environments with some uncertainty as to exactly what kind of terrain your robot might encounter. Beyond Earth, we’re still heavily reliant on wheeled vehicles, but even that might be starting to change. While wheels do pretty well on the Moon and on Mars, there are lots of other places to explore, like smaller moons and asteroids. And there, it’s not just terrain that’s a challenge: it’s gravity.
In low gravity environments, any robot moving over rough terrain risks entering a flight phase. Perhaps an extended flight phase, depending on how low the gravity is, which can be dangerous to robots that aren’t prepared for it. Researchers at the Robotic Systems Lab at ETH Zurich have been doing some experiments with the SpaceBok quadruped, and they’ve published a paper in IEEE T-RO showing that it’s possible to teach SpaceBok to effectively bok around in low gravity environments while using its legs to reorient itself during flight, exhibiting “cat-like jumping and landing” behaviors through vigorous leg-wiggling.
Also, while I’m fairly certain that “bok” is not a verb that means “to move dynamically in low gravity using legs,” I feel like that’s what it should mean. Sort of like pronk, except in space. Let’s make it so!
Just look at that robot bok!
This reorientation technique was developed using deep reinforcement learning, and then transferred from simulation to a real SpaceBok robot, albeit in two degrees of freedom rather than three. The real challenge with this method is just how complicated things get when you start wiggling multiple limbs in the air trying to get to a specific configuration, since the dynamics here are (as the paper puts it) “highly non-linear,” and it proved somewhat difficult to even simulate everything well enough. What you see in the simulation, incidentally, is an environment similar to Ceres, the largest asteroid in the asteroid belt, which has a surface gravity of 0.03g.
Although SpaceBok has “space” right in the name, it’s not especially optimized for this particular kind of motion. As the video shows, having an actuated hip joint could make the difference between a reliable soft landing and, uh, not. Not landing softly is a big deal, because an uncontrolled bounce could send the robot flying huge distances, which is what happened to the Philae lander on comet 67P/Churyumov–Gerasimenko back in 2014.
For more details on SpaceBok’s space booking, we spoke with the paper’s first author, Nikita Rudin, via email.
IEEE Spectrum: Why are legs ideal for mobility in low gravity environments?
Rudin: In low gravity environments, rolling on wheels becomes more difficult because of reduced traction. However, legs can exploit the low gravity and use high jumps to move efficiently. With high jumps, you can also clear large obstacles along the way, which is harder to do in higher gravity.
Were there unique challenges to training your controller in 2D and 3D relative to training controllers for terrestrial legged robot motion?
The main challenge is the long flight phase, which is not present in terrestrial locomotion. In earth gravity, robots (and animals) use reaction forces from the ground to balance. During a jump, they don't usually need to re-orient themselves. In the case of low gravity, we have extended flight phases (multiple seconds) and only short contacts with the ground. The robot needs to be able to re-orient / balance in the air. Otherwise, a small disturbance at the moment of the jump will slowly flip the robot. In short, in low gravity, there is a new control problem that can be neglected on Earth.
Besides the addition of a hip joint, what other modifications would you like to make to the robot to enhance its capabilities? Would a tail be useful, for example? Or very heavy shoes?
A tail is a very interesting idea and heavy shoes would definitely help, however, they increase the total weight, which is costly in space. We actually add some minor weight to feet already (in the paper we analyze the effect of these weights). Another interesting addition would be a joint in the center of the robot allowing it to do cat-like backbone torsion.
How does the difficulty of this problem change as the gravity changes?
With changing gravity you change the importance of mid-air re-orientation compared to ground contacts. For locomotion, low-gravity is harder from the reasoning above. However, if the robot is dropped and needs to perform a flip before landing, higher gravity is harder because you have less time for the whole process.
What are you working on next?
We have a few ideas for the next projects including a legged robot specifically designed and certified for space and exploring cat-like re-orientation on earth with smaller/faster robots. We would also like to simulate a zero-g environment on earth by dropping the robot from a few dozens of meters into a safety net, and of course, a parabolic flight is still very much one of our objectives. However, we will probably need a smaller robot there as well.
Cat-Like Jumping and Landing of Legged Robots in Low Gravity Using Deep Reinforcement Learning, by Nikita Rudin, Hendrik Kolvenbach, Vassilios Tsounis, and Marco Hutter from ETH Zurich, is published in IEEE Transactions on Robotics. Continue reading