The February 2023 issue of IEEE Spectrum is here!

Close bar

How Robots Can Learn From Your Pathetic Failures

Getting a robot to do what you want is never an easy task, especially if you can't even do the task yourself

2 min read

Robots that can learn fromdemonstrations are capable of watching a human do something, and then copying (or even improving on) the motions that the human makes in order to learn new tasks. This is fine if you're good at the task that you're trying to teach the robot, but if you're bad at it, you and your robot student are going to run into some problems.

Daniel H. Grollman and Aude Billard from the Learning Algorithms and Systems Laboratory at EPFL, in Lausanne, Switzerland, are working on ways for robots to learn from demonstrations, even if those demonstrations are failures. In the following video, a human shows a robot how to prop up a block and toss a ball into a basket without actually succeeding at either task:

The researchers developed learning algorithms that allow the robot to analyze your behavior and mathematically determine what parts of the task you're getting right (or you think you're getting right) and where you're screwing up, and eventually, it teaches itself to perform the task better than you. At the moment, the robot isn't using an adaptive learning approach; it's just trying different things until it accomplishes the objective. But part of the appeal of this system is that it uses failed human examples to help it know the extent of what it should try. I can almost hear a robotic voice saying, "Human, it's okay to fail."

Grollman and Billard describe their work in a paper, "Donut As I Do: Learning From Failed Demonstrations," presented last week at the IEEE International Conference on Robotics and Automation (ICRA), in Shanghai, and they were honored with the Best Cognitive Robotics Paper award. Congrats!

[ Post updated to correct for the fact that the robot can't yet infer what your overall goal is... But they're working on it! ]

The Conversation (0)

The Bionic-Hand Arms Race

The prosthetics industry is too focused on high-tech limbs that are complicated, costly, and often impractical

12 min read
A photograph of a young woman with brown eyes and neck length hair dyed rose gold sits at a white table. In one hand she holds a carbon fiber robotic arm and hand. Her other arm ends near her elbow. Her short sleeve shirt has a pattern on it of illustrated hands.

The author, Britt Young, holding her Ottobock bebionic bionic arm.

Gabriela Hasbun. Makeup: Maria Nguyen for MAC cosmetics; Hair: Joan Laqui for Living Proof

In Jules Verne’s 1865 novel From the Earth to the Moon, members of the fictitious Baltimore Gun Club, all disabled Civil War veterans, restlessly search for a new enemy to conquer. They had spent the war innovating new, deadlier weaponry. By the war’s end, with “not quite one arm between four persons, and exactly two legs between six,” these self-taught amputee-weaponsmiths decide to repurpose their skills toward a new projectile: a rocket ship.

The story of the Baltimore Gun Club propelling themselves to the moon is about the extraordinary masculine power of the veteran, who doesn’t simply “overcome” his disability; he derives power and ambition from it. Their “crutches, wooden legs, artificial arms, steel hooks, caoutchouc [rubber] jaws, silver craniums [and] platinum noses” don’t play leading roles in their personalities—they are merely tools on their bodies. These piecemeal men are unlikely crusaders of invention with an even more unlikely mission. And yet who better to design the next great leap in technology than men remade by technology themselves?

Keep Reading ↓Show less