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Low-Impedance Displacement Sensors for Intuitive Physical Human–Robot Interaction: Motion Guidance, Design, and Prototyping

Thierry Laliberté, Clément Gosselin

2021IEEE Transactions on Robotics18 citationsDOI

Abstract

This article provides a general framework for the use of low-impedance displacement sensors mounted on the links of a serial robot to provide an intuitive physical human–robot interaction. A general formulation is developed to handle the motion guidance problem, i.e., the mapping of the measured motion of the sensors into the required robot joint motions to provide intuitive responsiveness. The formulation is general and can be applied to any architecture of serial robot with any number of displacement sensors each having an arbitrary number of degrees of freedom. Then, the design of a novel three-degree-of-freedom low-impedance displacement sensor is presented as a particularly effective instantiation of the general concept. Partial force balancing is used to reduce the required elastic return action, thereby ensuring the low impedance of the interaction. A prototype of a three-degree-of-freedom displacement sensor is then introduced. Two such sensors are mounted on the links of a custom-built five-degree-of-freedom robot in order to demonstrate the proposed approach. Experimental results are provided and comparisons with other collaborative robots are given. It is shown that the proposed sensors and motion guidance approach yield very intuitive low-impedance interaction involving very low interaction forces.

Topics & Concepts

RobotDisplacement (psychology)Degrees of freedom (physics and chemistry)Electrical impedanceEngineeringImpedance controlComputer scienceSimulationMotion (physics)Control engineeringControl theory (sociology)Artificial intelligencePhysicsElectrical engineeringPsychotherapistQuantum mechanicsControl (management)PsychologyRobot Manipulation and LearningSoft Robotics and ApplicationsProsthetics and Rehabilitation Robotics
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