Affiliation:
1. College of Engineering, Shenyang Agricultural University, Shenyang 110866, China
Abstract
To improve the environment perception ability of wheeled mobile robots (WMRs), the visual behavior mechanism of the negative-correlation motion of chameleons is introduced into the binocular vision system of WMRs, and a shifty-behavior-based environment perception model with chameleon-inspired active vision for WMRs is established, where vision–motor coordination is achieved. First, a target search sub-model with chameleon-inspired binocular negative-correlation motion is built. The relationship between the rotation angles of two cameras and the neck and the camera’s field of view (FOV), overlapping angle, region of interest, etc., is analyzed to highlight the binocular negative-correlation motion compared with binocular synchronous motion. The search efficiency of the negative-correlation motion is doubled compared with binocular synchronous motion, and the search range is also greatly improved. Second, the FOV model of chameleon-inspired vision perception based on a shifty-behavior mode is set up. According to the different functional requirements of target searching and tracking stages, the shift of the robot visual behavior is analyzed from two aspects, measuring range and accuracy. Finally, a chameleon-inspired active-vision-based environment perception strategy for mobile robots is constructed based on the shifty-behavior mode, and experimental verification is deployed, which achieves the reproduction of the visual behavior of chameleons in the vision system of mobile robots with satisfactory results.
Funder
National Natural Science Foundation of China
Scientific Research Foundation of Education Department of Liaoning Province
Doctoral Research Initiation Foundation of Shenyang Agricultural University
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference47 articles.
1. Zhang, H., and Lee, S. (2022). Robot Bionic Vision Technologies: A Review. Appl. Sci., 12.
2. Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors;Conde;IEEE Access,2019
3. Corke, P. (2017). Robotics, Vision and Control, Springer International Publishing. Springer Tracts in Advanced Robotics.
4. Bajcsy, R. (1985, January 13–16). Active Perception vs. Passive Perception. Proceedings of the IEEE Workshop on Computer Vision, Bellaire, MI, USA.
5. Revisiting Active Perception;Bajcsy;Auton Robot,2018
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