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Dissipative Control for Physical Human–Robot Interaction

机译:人机交互的耗散控制

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摘要

Physical human–robot interaction is fundamental to exploiting the capabilities of robots in tasks and environments where robots have limited cognition or comprehension and is virtually ubiquitous for robotic manipulation in highly unstructured environments, as are found in surgery. A critical aspect of physical human–robot interaction in these cases is controlling the robot so that the individual human and robot competencies are maximized, while guaranteeing user, task, and environment safety. Dissipative control precludes dangerous forcing of a shared tool by the robot, ensuring safety; however, it typically suffers from poor control fidelity, resulting in reduced task accuracy. In this study, a novel, rigorously formalized, -dimensional dissipative control strategy is proposed that employs a new technique called “energy redirection” to generate control forces with increased fidelity while remaining dissipative and safe. Experimental validation of the method, for complete pose control, shows that it achieves a 90% reduction in task error compared with the current state of the art in dissipative control for the tested applications. The findings clearly demonstrate that the method significantly increases the fidelity and efficacy of dissipative control during physical human–robot interaction. This advancement expands the number of tasks and environments into which safe physical human–robot interaction can be employed effectively.
机译:人与机器之间的物理交互对于在机器人具有有限的认知或理解能力的任务和环境中利用机器人的功能至关重要,并且实际上在无组织的环境中,如在外科手术中发现的那样,机器人的操作无处不在。在这些情况下,人机交互的一个关键方面是控制机器人,从而最大程度地提高人机交互能力,同时确保用户,任务和环境的安全。耗散控制可防止机器人危险地强制使用共享工具,从而确保安全;但是,它通常具有较差的控制保真度,从而导致任务准确性降低。在这项研究中,提出了一种新颖的,严格形式化的,尺寸耗散的控制策略,该策略采用一种称为“能量重定向”的新技术来产生保真度更高的控制力,同时保持耗散性和安全性。对于完整的姿势控制,该方法的实验验证表明,与目前的测试应用耗散控制技术相比,该方法可将任务错误减少90%。这些发现清楚地表明,该方法在人机交互过程中大大提高了耗散控制的保真度和功效。这一进步扩展了可以有效地利用安全的人机交互的任务和环境的数量。

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