Learning to Catch Reactive Objects with a Behavior Predictor
Kai Lu,Jia-Xing Zhong,Bo Yang,Bing Wang,Andrew Markham,Kai Lu,Jia-Xing Zhong,Bo Yang,Bing Wang,Andrew Markham
Tracking and catching moving objects is an important ability for robots in a dynamic world. Whilst some objects have highly predictable state evolution e.g., the ballistic trajectory of a tennis ball, reactive targets alter their behavior in response to motion of the manipulator. Reactive applications range from gently capturing living animals such as snakes or fish for biological investigations, ...
