arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2306.14105cs.ROcs.SYeess.SY

过驱动无人机机械臂的序列操作规划

Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators

Beijing Institute for General Artificial Intelligence(北京通用人工智能研究院);Peking University(北京大学);Tsinghua University(清华大学)

Yao Su, Jiarui Li, Ziyuan Jiao, Meng Wang, Chi Chu, Hang Li, Yixin Zhu, Hangxin Liu

AI总结:

本文针对无人机机械臂的序列操作规划问题,提出基于虚拟运动链的统一运动学与动力学规划方法,并在仿真与实验中首次展示过驱动UAM的多种序列操作能力。

摘要:

我们研究了无人机机械臂(UAMs)的序列操作规划问题。与以往主要关注单步操作任务的工作不同,序列操作要求UAM的浮动基座、机械臂和被操作物体之间协调运动,这需要在指定约束下建立统一的运动学与动力学模型进行运动规划。通过利用基于虚拟运动链(VKC)的运动规划框架,将各部件的运动学整合为一条链,UAM的序列操作任务可以作为一个整体进行规划,从而产生更协调的运动。将运动学与动力学模型集成到分层控制框架中,我们首次在仿真和实验中展示了一台过驱动UAM实现了一系列新的序列操作能力。

英文摘要:

We investigate the sequential manipulation planning problem for unmanned aerial manipulators (UAMs). Unlike prior work that primarily focuses on one-step manipulation tasks, sequential manipulations require coordinated motions of a UAM's floating base, the manipulator, and the object being manipulated, entailing a unified kinematics and dynamics model for motion planning under designated constraints. By leveraging a virtual kinematic chain (VKC)-based motion planning framework that consolidates components' kinematics into one chain, the sequential manipulation task of a UAM can be planned as a whole, yielding more coordinated motions. Integrating the kinematics and dynamics models with a hierarchical control framework, we demonstrate, for the first time, an over-actuated UAM achieves a series of new sequential manipulation capabilities in both simulation and experiment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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