基于微分逆运动学控制的未知环境下移动操纵

Adam Heins, M. Jakob, Angela P. Schoellig
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引用次数: 7

摘要

移动机械手将移动机器人的大工作空间与机械臂的交互能力相结合,使其在包括建筑和辅助护理在内的各种领域都很有用。提出了一种位置控制工业移动机械臂的微分逆运动学全身控制方法。我们的控制器能够进行任务空间轨迹跟踪、力调节、障碍和奇点规避,并在有限的感知和环境知识的情况下将物体推向目标位置。我们通过在一个9自由度全方位移动机械臂上的大量实验来评估所提出的方法。可以在http://tiny.cc/crv21-mm上找到演示许多实验的视频。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Manipulation in Unknown Environments with Differential Inverse Kinematics Control
Mobile manipulators combine the large workspace of mobile robots with the interactive capabilities of manipulator arms, making them useful in a variety of domains including construction and assistive care. We propose a differential inverse kinematics whole-body control approach for position-controlled industrial mobile manipulators. Our controller is capable of task-space trajectory tracking, force regulation, obstacle and singularity avoidance, and pushing an object toward a goal location, with limited sensing and knowledge of the environment. We evaluate the proposed approach through extensive experiments on a 9 degree-of-freedom omnidirectional mobile manipulator. A video demonstrating many of the experiments can be found at http://tiny.cc/crv21-mm.
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