There are plenty of robots designed to avoid falling, like Alphabet’s surreal animal-like BigDog series of machines. But bipedal robots, or bipedal-ish robots, designed to operate in spaces made for humans, don’t have the luxury of a weird, well-balanced body. As a result, they tend to fall over a bunch. To compensate, Ph.D. student Sehoon Ha and professor Karen Liu created a planning algorithm that lets robots break various kinds of falls, including using arms to protect their head and tumbling sideways to minimize the damage. Their paper, “Multiple Contact Planning for Minimizing Damage of Humanoid Falls“, presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems, details a system that lets robots survive a range of impacts. The end result looks like this: Watch more robots fall somewhat gracefully below:
