欢迎访问智能制造与数据科学实验室网站 

中文| English
当前位置: 首页 > 新闻动态 > 实验室新闻 > 正文

热烈祝贺徐昊硕士,徐博文博士,吴越博士的多机器人协同装配论文“Adaptive Learning-based Distributed Control of Cooperative Robot Arm Manipulation for Unknown Objects”被影响因子大于10的国际控制论顶刊 IEEE Trans on SMC- Systems录用为长文

【来源: | 发布日期:2022-08-03 】

    Abstract-This paper proposes a distributed cooperative manipulation control scheme for multi-robot systems to track reference trajectories with unknown payload dynamics, grasp positions and external disturbances. An online learning module is established to estimate the payload dynamics. Then a wrench-synthetic trajectory tracking control protocol is thereby developed to manipulate an object under unknown external disturbances no matter where the grasping points are. Moreover, sufficient conditions are derived to guarantee the uniform boundedness of the tracking errors of the closed-loop cooperative manipulation system. Finally, numerical simulations are conducted to substantiate the effectiveness of the proposed cooperative manipulation control scheme.

    Index Terms—Cooperative systems, control systems, robot dynamics, manipulators, neural network applications.