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用于推车任务的带有串联弹性驱动器的移动操纵器的全身控制

Whole Body Control of Mobile Manipulators With Series Elastic Actuators for Cart Pushing Tasks.

作者信息

Ren Xiaoqian, Li Zhijun, Zhou MengChu

出版信息

IEEE Trans Cybern. 2024 Dec;54(12):7891-7904. doi: 10.1109/TCYB.2024.3390947. Epub 2024 Nov 27.

DOI:10.1109/TCYB.2024.3390947
PMID:38801684
Abstract

Human-centered environments provide affordance for the use of two-handed mobile manipulators. Yet robots designed to function in and physically interact with such environments are not yet capable of meeting human users' requirements. This work proposes a whole body control framework of a two-handed mobile manipulator driven by series elastic actuators (SEAs) for cart pushing tasks. A whole body dynamic model for an integrated mobile platform and on-board arms is revealed, which takes into account the interaction forces with the cart. Then, the explicit force/position control of the mobile manipulator is performed. It enables the robot to interact dynamically with the environment while providing motion, i.e., the manipulators provide both output force control and motion control for pushing a cart. To cope with the highly nonlinear system dynamics and parameter variation of a SEA-driven mobile manipulator, this work proposes an adaptive robust controller based on a novel integral barrier Lyapunov function for cart pushing tasks by considering model uncertainty. The proposed controller enables the mobile manipulator to complete cart pushing tasks by regulating the position and output force of the mobile base and arms. The experimental results show the effectiveness of this approach in cart pushing tasks.

摘要

以人类为中心的环境为使用双手移动操纵器提供了便利条件。然而,设计用于在此类环境中运行并与之进行物理交互的机器人尚无法满足人类用户的需求。这项工作提出了一种由串联弹性驱动器(SEA)驱动的双手移动操纵器的全身控制框架,用于推车任务。揭示了一个集成移动平台和车载手臂的全身动力学模型,该模型考虑了与推车的相互作用力。然后,对移动操纵器进行了明确的力/位置控制。这使机器人能够在提供运动的同时与环境进行动态交互,即操纵器为推车提供输出力控制和运动控制。为了应对SEA驱动的移动操纵器的高度非线性系统动力学和参数变化,这项工作通过考虑模型不确定性,提出了一种基于新型积分障碍李雅普诺夫函数的自适应鲁棒控制器用于推车任务。所提出的控制器通过调节移动基座和手臂的位置和输出力,使移动操纵器能够完成推车任务。实验结果表明了该方法在推车任务中的有效性。

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