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Biologically Inspired Collision Avoidance Without Distance Information
Conference proceeding

Biologically Inspired Collision Avoidance Without Distance Information

Thiago Marinho, Massi Amrouche, Dusan Stipanovic, Venanzio Cichella and Naira Hovakimyan
2021 American Control Conference (ACC), Vol.2021-, pp.4383-4388
05/25/2021
DOI: 10.23919/ACC50511.2021.9482820
url
https://arxiv.org/pdf/2103.12239View
Open Access

Abstract

Biological evidence shows that animals are capable of evading eminent collision without using depth information, relying solely on looming stimuli. In robotics, collision avoidance among uncooperative vehicles requires measurement of relative distance to the obstacle. Small, low-cost mobile robots and UAVs might be unable to carry distance measuring sensors, like LIDARS and depth cameras. We propose a control framework suitable for a unicycle-like vehicle moving in a 2D plane that achieves collision avoidance. The control strategy is inspired by the reaction of invertebrates to approaching obstacles, relying exclusively on line-of-sight (LOS) angle, LOS angle rate, and time-to-collision as feedback. Those quantities can readily be estimated from a monocular camera vision system onboard a mobile robot. The proposed avoidance law commands the heading angle to circumvent a moving obstacle with unknown position, while the velocity controller is left as a degree of freedom to accomplish other mission objectives. Theoretical guarantees are provided to show that minimum separation between the vehicle and the obstacle is attained regardless of the exogenous tracking controller.
 Biology Cameras Kinematics Laser radar Machine vision Robot vision systems Sensors

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