Recent developments in industrial robotics use real-time trajectory modification to improve throughput and safety in automatic processes. Online trajectory scaling is often used to this purpose. In this paper, we propose a feedback trajectory scaling approach that is able to recover from the delay introduced by the speed modulation and improves the path-following performance thanks to an additional inner control loop. Simulation and experimental results on an industrial 6-degree-of-freedom robot show the effectivenes

Real-time trajectory scaling for robot manipulators

Marco Faroni;
2020

Abstract

Recent developments in industrial robotics use real-time trajectory modification to improve throughput and safety in automatic processes. Online trajectory scaling is often used to this purpose. In this paper, we propose a feedback trajectory scaling approach that is able to recover from the delay introduced by the speed modulation and improves the path-following performance thanks to an additional inner control loop. Simulation and experimental results on an industrial 6-degree-of-freedom robot show the effectivenes
2020
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
industrial robots
motion planning
robot control
trajectory planning
real-time planning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/408477
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