Robust auto tool change for industrial robots using visual servoing

Pau Muñoz-Benavent, J. Ernesto Solanes, Luis Gracia and Josep Tornero

International Journal of Systems Science, 2019, vol. 50, issue 2, 432-449

Abstract: This work presents an automated solution for tool changing in industrial robots using visual servoing and sliding mode control. The robustness of the proposed method is due to the control law of the visual servoing, which uses the information acquired by a vision system to close a feedback control loop. Furthermore, sliding mode control is simultaneously used in a prioritised level to satisfy the constraints typically present in a robot system: joint range limits, maximum joint speeds and allowed workspace. Thus, the global control accurately places the tool in the warehouse, but satisfying the robot constraints. The feasibility and effectiveness of the proposed approach is substantiated by simulation results for a complex 3D case study. Moreover, real experimentation with a 6R industrial manipulator is also presented to demonstrate the applicability of the method for tool changing.

Date: 2019
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DOI: 10.1080/00207721.2018.1562129

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