A Computational Framework for Robot Hand Design via Reinforcement Learning
Zhong Zhang,Yu Zheng,Zhe Hu,Lezhang Liu,Xuan Zhao,Xiong Li,Jia Pan,Zhong Zhang,Yu Zheng,Zhe Hu,Lezhang Liu,Xuan Zhao,Xiong Li,Jia Pan
Robot hand is essential for a fully functional robot and designing a good robot hand is a sophisticated job that challenges the designer’s knowledge and experience. This paper presents a computational framework for automatic optimal robot hand design based on reinforcement learning (RL), which considers desired grasping tasks, grasp control strategies, and performance quality measures altogether. ...
