基于障碍函数变换的人机交互机器人安全自适应轨迹跟踪控制

Iman Salehi, G. Rotithor, Ashwin P. Dani
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引用次数: 1

摘要

在本章中,介绍了人机交互/协作中的安全方法。在机器人的操作环境中,确保人、物体甚至机器人本身的安全是协作机器人的关键方面之一。由于控制人类行为的方法有限,例如,通过设置物理障碍,塑造机器人的行为是一个可行的选择。本章讨论了目前在工业环境中放置人类安全屏障的方法,以及通过使用屏障转换设计机器人控制器来放置虚拟屏障的新方法。综述了势垒函数(BFs)、控制势垒函数(CBFs)和势垒转换的概念。利用障碍物变换的概念,设计了机器人不跨越虚拟障碍物的自适应轨迹跟踪控制器。所设计的控制器在仿真中得到了验证。展望了人机协作安全技术的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safe Adaptive Trajectory Tracking Control of Robot for Human-Robot Interaction Using Barrier Function Transformation
In this chapter, safety methods in human-robot (HR) interaction/collaboration are presented. Ensuring the safety of humans, objects, or even the robot itself in the robot’s operating environment is one of the crucial aspects of collaborative robotics. Since there are limited ways of controlling the behavior of humans, e.g., by placing physical barriers, shaping the behavior of the robot is a feasible option. The chapter discusses current methods of placing barriers for human safety in an industrial setting and novel methods of placing virtual barriers by designing robot controllers using barrier transformation. The concepts of barrier functions (BFs), control barrier functions (CBFs), and barrier transformations are reviewed. The barrier transformation concept is used to design an adaptive trajectory tracking controller for the robot such that the robot does not cross the virtual barriers. The designed controller is tested in simulations. Future directions of safety technology in human-robot collaboration are presented.
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