A Reduced Mass-Spring-Mass Model of Compliant Robots Dedicated to the Evaluation of Impact Forces

IF 2.2 4区 计算机科学 Q2 ENGINEERING, MECHANICAL Journal of Mechanisms and Robotics-Transactions of the Asme Pub Date : 2023-07-11 DOI:10.1115/1.4062946
Guillaume Jeanneau, Vincent Bégoc, S. Briot
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Abstract

The introduction of intrinsic compliance in the design of robots allows to reduce the inherent risk for humans working in the vicinity of a robotic cell. Indeed, it permits to decouple the dynamic effects of the links' inertia from those of the rotors' inertia, thus reducing the maximum impact force. However, robot designers are lacking modeling tools to help simulate numerous collision scenarios, analyze the behaviour of a compliant robot and optimize its design. In this article, we introduce a method to reduce the model of a multi-link compliant robot in a simple translationnal mass-spring-mass system. Simulation results show that this reduced model allows to accurately predict the maximal impact force in the case of a collision with a constrained human body part, and thus estimate the severity of such collision. Multiple impact scenarios are conducted on two case-studies, a planar serial elastic robot and the R-Min robot, an underactuated parallel planar robot, designed for collaboration.
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用于评估冲击力的柔顺机器人质量-弹簧-质量简化模型
在机器人设计中引入内在遵从性可以减少在机器人单元附近工作的人类的固有风险。事实上,它允许将连杆惯性的动态影响与转子惯性的动态影响解耦,从而减小最大冲击力。然而,机器人设计师缺乏建模工具来帮助模拟大量的碰撞场景,分析柔性机器人的行为并优化其设计。本文介绍了一种简化平移质量-弹簧-质量系统中多连杆柔顺机器人模型的方法。仿真结果表明,该简化模型能够准确预测人体部位受约束碰撞时的最大撞击力,从而估计碰撞的严重程度。以平面串联弹性机器人和欠驱动并联平面机器人R-Min为研究对象,进行了多碰撞场景分析。
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来源期刊
CiteScore
5.60
自引率
15.40%
发文量
131
审稿时长
4.5 months
期刊介绍: Fundamental theory, algorithms, design, manufacture, and experimental validation for mechanisms and robots; Theoretical and applied kinematics; Mechanism synthesis and design; Analysis and design of robot manipulators, hands and legs, soft robotics, compliant mechanisms, origami and folded robots, printed robots, and haptic devices; Novel fabrication; Actuation and control techniques for mechanisms and robotics; Bio-inspired approaches to mechanism and robot design; Mechanics and design of micro- and nano-scale devices.
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