基于电流的阻抗控制与移动机械手互动

Jelmer de Wolde, Luzia Knoedler, Gianluca Garofalo, Javier Alonso-Mora
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引用次数: 0

摘要

随着机器人从工业空间转向以人为中心的空间,采用可扩展工作空间能力的移动机械手变得至关重要。在这种情况下,要实现与人类的无缝交互,就必须进行顺应性控制。安全交互的两种常用方法--导纳和阻抗控制--都需要力或扭矩传感器,而低成本或轻型机器人通常不具备这些传感器。本文介绍了阻抗控制的一种改良方法,无需使用力或扭矩传感器即可用于电流控制机器人,并将其应用于移动机械手的顺应控制。本文设计了一种校准方法,可以估算出适配阻抗控制器使用的致动器电流/扭矩比和摩擦力,并能处理模型误差。使用 Kinova GEN3 Lite 机械臂对校准方法和所设计控制器的性能进行了实验验证。结果表明,校准方法是一致的,为机械臂设计的控制器符合要求,同时还能在无交互作用时以五毫米的精度跟踪目标。此外,本文还介绍了与移动机械手交互的两种操作模式:一种是通过与机械臂交互来引导机器人在工作区周围移动,另一种是执行跟踪任务,这两种模式都能保持对外力的顺应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current-Based Impedance Control for Interacting with Mobile Manipulators
As robots shift from industrial to human-centered spaces, adopting mobile manipulators, which expand workspace capabilities, becomes crucial. In these settings, seamless interaction with humans necessitates compliant control. Two common methods for safe interaction, admittance, and impedance control, require force or torque sensors, often absent in lower-cost or lightweight robots. This paper presents an adaption of impedance control that can be used on current-controlled robots without the use of force or torque sensors and its application for compliant control of a mobile manipulator. A calibration method is designed that enables estimation of the actuators' current/torque ratios and frictions, used by the adapted impedance controller, and that can handle model errors. The calibration method and the performance of the designed controller are experimentally validated using the Kinova GEN3 Lite arm. Results show that the calibration method is consistent and that the designed controller for the arm is compliant while also being able to track targets with five-millimeter precision when no interaction is present. Additionally, this paper presents two operational modes for interacting with the mobile manipulator: one for guiding the robot around the workspace through interacting with the arm and another for executing a tracking task, both maintaining compliance to external forces. These operational modes were tested in real-world experiments, affirming their practical applicability and effectiveness.
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