Kinematics Learning of Massive Heterogeneous Serial Robots
Dengpeng Xing,Wannian Xia,Bo Xu,Dengpeng Xing,Wannian Xia,Bo Xu
Kinematics and instantaneous kinematics are fundamental in many robotic tasks, such as positioning and collision avoidance. Existing learning methods mainly concern a single robot, and small-scale networks are sufficient for considerable approximation accuracy. A question is: Can we learn a kinematics model that can generalize to various robots rather than a single robot? This paper studies the ki...
