SLAM and Vision-based Humanoid Navigation

Stasse, Olivier

doi:10.1007/978-94-007-7194-9_59-1

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2019

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“…On the other hand, vision-based navigation of humanoid robots is widely studied. A comprehensive description of the general problem is given in [5]. The authors of [6] present vision-based navigation with obstacles detection for a humanoid robot in a learning fashion.…”

Section: A Related Workmentioning

confidence: 99%

Vision-Based Navigation of Omnidirectional Mobile Robots

Ferro

Paolillo

Cherubini

et al. 2019

IEEE Robot. Autom. Lett.

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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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Section: A Related Workmentioning

confidence: 99%