Journal of System Simulation
Abstract
Abstract: The robot is taken as a point during most existing obstacle avoidance control methods for wheeled robot. These methods have limitations in actual situation. When a robot is considered as a rigid body, in order to get high speed performance, the relationship between robot model, contour and obstacle should be considered in detail. An approach to avoiding obstacle with high speed based on viability theory was proposed for wheeled robots. The line features were extracted from the obstacles, and then high dimension viability boundaries were designed via these features, rigid body contours and states of the robot. According to the viability theory, the viability control set was given to make the system suitable for the tangent cone of these viability boundaries. This control set was optimized for the radical high speed obstacle avoidance control of wheeled robots. The viability simulation shows that, the proposed approach can solve the problem of complex collision scenarios between large inertia robots with the rigid body contours and the obstacles. The effect of the approach is secure and speedy.
Recommended Citation
Lei, Liu; Yan, Gao; and Wu, Yuepeng
(2020)
"Viability Control of Rigid Body Wheeled Robots for High Speed Obstacle Avoidance,"
Journal of System Simulation: Vol. 28:
Iss.
12, Article 18.
DOI: 10.16182/j.issn1004731x.joss.201612018
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss12/18
First Page
3001
Revised Date
2015-12-22
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201612018
Last Page
3009
CLC
TP242
Recommended Citation
Liu Lei, Gao Yan, Wu Yuepeng. Viability Control of Rigid Body Wheeled Robots for High Speed Obstacle Avoidance[J]. Journal of System Simulation, 2016, 28(12): 3001-3009.
DOI
10.16182/j.issn1004731x.joss.201612018
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons