Quad-Rotor Avoidance Trajectory Generation for Convex Polyhedron Obstacles

This study investigates a method for generating obstacle avoidance trajectories for arbitrary convex polyhedrons. We propose a formulation that converts discrete conditions into continuous equation forms to avoid convex polyhedron obstacles. The condition that the evaluation point be located outside of the convex polyhedron can be transformed into a constraint in the continuous equation form and incorporated into the optimization calculation to generate avoidance trajectories. Avoidance trajectory generation using the Legendre pseudospectral method is performed for convex polyhedral obstacles of various shapes. The results show that the proposed method successfully generates avoidance trajectories for arbitrary convex polyhedral obstacles.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2024-10-19
DOI
https://doi.org/10.20965/jrm.2024.p1065
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Quad-Rotor Avoidance Trajectory Generation for Convex Polyhedron Obstacles

Yoshihide Arai, Takashi Sago, Masanori Harada, Yuki Ueyama
Journal of Robotics and Mechatronics
Robotic Path Planning Algorithms
article

Quad-Rotor Avoidance Trajectory Generation for Convex Polyhedron Obstacles

Yoshihide Arai, Takashi Sago, Masanori Harada, Yuki Ueyama
article en

Abstract

This study investigates a method for generating obstacle avoidance trajectories for arbitrary convex polyhedrons. We propose a formulation that converts discrete conditions into continuous equation forms to avoid convex polyhedron obstacles. The condition that the evaluation point be located outside of the convex polyhedron can be transformed into a constraint in the continuous equation form and incorporated into the optimization calculation to generate avoidance trajectories. Avoidance trajectory generation using the Legendre pseudospectral method is performed for convex polyhedral obstacles of various shapes. The results show that the proposed method successfully generates avoidance trajectories for arbitrary convex polyhedral obstacles.

Journal of Robotics and MechatronicsVol. 36(5)
National Defense Academy of Japan (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 82%
Robotic Path Planning Algorithms
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Quad-Rotor Avoidance Trajectory Generation for Convex Polyhedron Obstacles — Yoshihide Arai, Takashi Sago, et al. · Journal of Robotics and Mechatronics (2024) | TGRS Research Map | TGRS