Tool Shape Optimization through Backpropagation of Neural Network
Kento Kawaharazuka,Toru Ogawa,Cota Nabeshima,Kento Kawaharazuka,Toru Ogawa,Cota Nabeshima
When executing a certain task, human beings can choose or make an appropriate tool to achieve the task. This research especially addresses the optimization of tool shape for robotic tool-use. We propose a method in which a robot obtains an optimized tool shape, tool trajectory, or both, depending on a given task. The feature of our method is that a transition of the task state when the robot moves...
