Development of Impedance Control for Human/Robot Interactive Handling of Heavy Parts and Loads

Author:

Ahola Jari M.1,Koskinen Jukka1,Seppälä Tuomas1,Heikkilä Tapio1

Affiliation:

1. VTT Technical Research Centre of Finland Ltd, Oulu, Finland

Abstract

This paper introduces a control system for human/robot interactive handling of heavy parts and loads. The aim of the study was to demonstrate the feasibility of human/robot cooperative handling of heavy parts and loads with a robot as a load carrier and a human as a motion guide. The control system included a medium sized industrial robot and two 6-dof F/T sensors adjusting the robot motion via parallel impedance compensators. This paper shows the principles for designing stable impedance compensators for hard contact with the environment as well as for soft contact with the human operator. The impedance compensators were evaluated in MATLAB Simulink and the target impedance models were verified with the real robot system. The result was a pilot system for flexible handling of heavy and large-size parts which can substantially improve the production performance and ergonomic work conditions in mechanical and manufacturing shops.

Publisher

American Society of Mechanical Engineers

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis and Design of Direct Force Control for Robots in Contact with Uneven Surfaces;Applied Sciences;2023-06-16

2. On Force Control for Robot Manipulators in Contact with Uneven Planar Surfaces;2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA);2022-11-28

3. A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedback;Special Topics in Information Technology;2019-10-01

4. Human-Robot Collaboration and Sensor-Based Robots in Industrial Applications and Construction;Springer Series in Adaptive Environments;2018

5. Calibration of the pose parameters between coupled 6-axis F/T sensors in robotics applications;Robotics and Autonomous Systems;2017-03

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