Path planning method design for mobile robots
Chia-Jun Yu, Yihong Chen, Ching‐Chang Wong
Abstract
Chia-Jun Yu, Yihong Chen, Ching‐Chang Wong
Abstract
In this paper, a path planning method for autonomous mobile robots in a known indoor environment is proposed. A traditional A* algorithm modified by a weighted cost function is proposed. The factors of distance and safety are considered simultaneously in the cost function so that the path planning can let the mobile robot reach its goal safely and quickly. Some simulation results are presented to illustrate the proposed method has a good path planning for mobile robots. The proposed method has also been implemented and tested on a real mobile robot. The experiment results illustrate that the proposed method can let the autonomous mobile robot have a safe path-planning in a known environment.
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In this paper, a path planning method for autonomous mobile robots in a known indoor environment is proposed. A traditional A* algorithm modified by a weighted cost function is proposed. The factors of distance and safety are considered simultaneously in the cost function so that the path planning can let the mobile robot reach its goal safely and quickly. Some simulation results are presented to illustrate the proposed method has a good path planning for mobile robots. The proposed method has also been implemented and tested on a real mobile robot. The experiment results illustrate that the proposed method can let the autonomous mobile robot have a safe path-planning in a known environment.
Key concepts: Mobile robot, Motion planning, Robot, Computer science, Path (computing), Function (biology), Real-time computing, Simulation