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Human-Robot Interaction Control for Robot Driven by Variable Stiffness Actuator With Force Self-Sensing

机译:由力自感的可变刚度执行器驱动的机器人的人机交互控制

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Robots driven by variable stiffness actuators (VSAs) have been an important technology as they could provide intrinsic compliance for safe human-robot interaction. The internal compliance of VSA also makes it possible for the actuator to act as a torque sensor and estimate the external force. This paper presents a physical human-robot interaction control strategy for robots driven by VSA with force self-sensing. The VSA adopted in the robotic system improves the safe performance of physical human-robot interaction. The interaction force is directly estimated by measuring the internal deformation of VSA with a stiffness region control which ensures a better resolution of force estimation and avoids transgressing the limits of deformation simultaneously. Then an online estimation method for the human motion intention is developed to generate the desired trajectory based on the estimated force. The impedance control is designed to enable the robot to actively follow the desired trajectory with compliance. Under the proposed control strategy, the robot is capable of actively tracking the “motion intention” of human with the estimated interaction force, which is demonstrated through experiment studies.
机译:由可变刚度执行器(VSA)驱动的机器人是一个重要的技术,因为它们可以提供安全人员机器人相互作用的内在依从性。 VSA的内部符合性也使执行器能够充当扭矩传感器并估计外力。本文提出了一种由VSA驱动的机器人的物理人员机器人交互控制策略,其具有力自感的力量。机器人系统采用的VSA提高了物理人员机器人相互作用的安全性能。通过用刚度区域控制测量VSA的内部变形来直接估计相互作用力,这确保了力估计的更好分辨率,并避免同时侵入变形的极限。然后,开发了用于人体运动意图的在线估计方法以基于估计力产生所需的轨迹。阻抗控制旨在使机器人能够以合规性主动地遵循所需的轨迹。在所提出的控制策略下,机器人能够主动跟踪人类的“运动意图”,以估计的相互作用力,通过实验研究证明。

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