软体机器人与环境交互作用的动态控制

C. D. Santina, Robert K. Katzschmann, A. Bicchi, D. Rus
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引用次数: 148

摘要

尽管出现了许多软体机器人系统,但基于模型的反馈控制仍然是一个开放的挑战。这在很大程度上是由于为无限维系统设计控制器的内在困难。本文提出了一种柔性机器人动力学的替代公式,它将机器人的行为与关节具有弹性的刚体机器人的行为联系起来。在分段常曲率的一般假设下,两个系统之间的匹配是精确的。基于这种联系,我们引入了两种控制体系结构,分别实现了精确的曲率控制和机器人阻抗的笛卡尔调节。曲率控制器解释了系统的自然柔软性,而笛卡尔控制器使末端执行器的阻抗适应与非结构化环境的相互作用。本文提出了第一个连续软机器人的闭环动态控制器。在具有平面操作能力的物理软机器人上对控制器进行了验证和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic control of soft robots interacting with the environment
Despite the emergence of many soft-bodied robotic systems, model-based feedback control has remained an open challenge. This is largely due to the intrinsic difficulties in designing controllers for systems with infinite dimensions. In this paper we propose an alternative formulation of the soft robot dynamics which connects the robot's behavior with the one of a rigid bodied robot with elasticity in the joints. The matching between the two system is exact under the common hypothesis of Piecewise Constant Curvature. Based on this connection we introduce two control architectures, with the aim of achieving accurate curvature control and Cartesian regulation of the robot's impedance, respectively. The curvature controller accounts for the natural softness of the system, while the Cartesian controller adapts the impedance of the end effector for interactions with an unstructured environment. This work proposes the first closed loop dynamic controller for a continuous soft robot. The controllers are validated and evaluated on a physical soft robot capable of planar manipulation.
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