IEEE University of Lahore

IEEE

Robots Have a Hard Time Grasping These "Adversarial Objects"

To make robot grasping more robust, researchers are designing objects that are as difficult as possible for robots to manipulate

There’s been a bunch of research recently into adversarial images, which are images of things that have been modified to be particularly difficult for computer vision algorithms to accurately identify. The idea is that these kinds of images can be used to help design more robust computer vision algorithms, because their “adversarial” nature is sort of a deliberate worst-case scenario—if your algorithm can handle adversarial images, then it can probably handle most other things.

Researchers at UC Berkeley have been extending this concept to robot grasping, with physical adversarial objects carefully designed to be tricky for conventional robot grippers to pick up. All it takes is a slight tweak to straightforward three-dimensional shapes, and a standard two-finger will have all kinds of trouble finding a solid grasp.

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