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Vision-based navigation of omnidirectional mobile robots

Abstract : This paper considers the problem of collision-free navigation of omnidirectional mobile robots in environments with obstacles. Information from a monocular camera, encoders, and an inertial measurement unit is used to achieve the task. Three different visual servoing control schemes, compatible with the class of considered robot kinematics and sensor equipment, are analysed and their robustness properties with respect to actuation inaccuracies discussed. Then, a controller is proposed with formal guarantee of convergence to the bisector of a corridor. The main controller components are a visual servoing control scheme and a velocity estimation algorithm integrating visual, kinematic and inertial information. The behaviour of all the considered algorithms is analised and illustrated through simulations both for a wheeled and a humanoid robot. The solution proposed as the most efficient and robust with respect to actuation inaccuracies is also validated experimentally on a real humanoid NAO.
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Contributor : Andrea Cherubini <>
Submitted on : Friday, April 19, 2019 - 4:35:48 PM
Last modification on : Tuesday, May 18, 2021 - 3:20:01 PM


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Marco Ferro, Antonio Paolillo, Andrea Cherubini, Marilena Vendittelli. Vision-based navigation of omnidirectional mobile robots. IEEE Robotics and Automation Letters, IEEE 2019, 4 (3), pp.2691-2698. ⟨10.1109/LRA.2019.2913077⟩. ⟨lirmm-02099193⟩



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