This paper proposes rigid-body modelling and identification procedures for long-reach dual-arm manipulators in a cable-suspended pendulum configuration. The proposed model relies on a virtually constrained open kinematic chain and lends itself to be simulated through the most commonly used robotic simulators without explicitly account for the cables constraints and flexibility. Moreover, a dynamic parameters identification procedure is devised to improve the simulation model fidelity and reduce the sim-to-real gap for controllers deployment. We show the capability of our model to handle different cable configurations and suspension mechanisms by customising it for two representative cable-suspended dual-arm manipulation systems: the LiCAS arms suspended by a drone and the CRANEbot system, featuring two Pilz arms suspended by a crane. The identified dynamic models are validated by comparing their evolution with data acquired from the real systems showing a high (between 91.3% to 99.4%) correlation of the response signals. In a comparison performed with baseline pendulum models, our model increases the simulation accuracy from 64.4% to 85.9%. The simulation environment and the related controllers are released as open-source code.

Modelling and identification methods for simulation of cable-suspended dual-arm robotic systems / D’Ago, Giancarlo; Selvaggio, Mario; Suarez, Alejandro; Gañán, Francisco Javier; Buonocore, Luca Rosario; Di Castro, Mario; Lippiello, Vincenzo; Ollero, Anibal; Ruggiero, Fabio. - In: ROBOTICS AND AUTONOMOUS SYSTEMS. - ISSN 0921-8890. - 175:(2024). [10.1016/j.robot.2024.104643]

Modelling and identification methods for simulation of cable-suspended dual-arm robotic systems

Selvaggio, Mario;Buonocore, Luca Rosario;Lippiello, Vincenzo;Ruggiero, Fabio
2024

Abstract

This paper proposes rigid-body modelling and identification procedures for long-reach dual-arm manipulators in a cable-suspended pendulum configuration. The proposed model relies on a virtually constrained open kinematic chain and lends itself to be simulated through the most commonly used robotic simulators without explicitly account for the cables constraints and flexibility. Moreover, a dynamic parameters identification procedure is devised to improve the simulation model fidelity and reduce the sim-to-real gap for controllers deployment. We show the capability of our model to handle different cable configurations and suspension mechanisms by customising it for two representative cable-suspended dual-arm manipulation systems: the LiCAS arms suspended by a drone and the CRANEbot system, featuring two Pilz arms suspended by a crane. The identified dynamic models are validated by comparing their evolution with data acquired from the real systems showing a high (between 91.3% to 99.4%) correlation of the response signals. In a comparison performed with baseline pendulum models, our model increases the simulation accuracy from 64.4% to 85.9%. The simulation environment and the related controllers are released as open-source code.
2024
Modelling and identification methods for simulation of cable-suspended dual-arm robotic systems / D’Ago, Giancarlo; Selvaggio, Mario; Suarez, Alejandro; Gañán, Francisco Javier; Buonocore, Luca Rosario; Di Castro, Mario; Lippiello, Vincenzo; Ollero, Anibal; Ruggiero, Fabio. - In: ROBOTICS AND AUTONOMOUS SYSTEMS. - ISSN 0921-8890. - 175:(2024). [10.1016/j.robot.2024.104643]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/952922
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