Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning

IEEE/CAA Journal of Automatica Sinica(2022)

引用 21|浏览143
暂无评分
摘要
Directly grasping the tightly stacked objects may cause collisions and result in failures, degenerating the functionality of robotic arms. Inspired by the observation that first pushing objects to a state of mutual separation and then grasping them individually can effectively increase the success rate, we devise a novel deep Q-learning framework to achieve collaborative pushing and grasping. Spec...
更多
查看译文
关键词
Training,Shape,Image color analysis,Collaboration,Grasping,Reinforcement learning,Manipulators
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要