Multitask and Transfer Learning of Geometric Robot Motion
Satomi Sugaya,Mohammad R. Yousefi,Andrew R. Ferdinand,Marco Morales,Lydia Tapia,Satomi Sugaya,Mohammad R. Yousefi,Andrew R. Ferdinand,Marco Morales,Lydia Tapia
When a learning solution is needed for different robots, a model is often trained for each robot geometry, even if the robotic task is the same and the robots are structurally similar. In this paper, we address the problem of transfer learning of swept volume predictors for the motion of articulated robots with similar geometric structure. The swept volume is a scalar value corresponding to the sp...
