Path planning for mobile articulated robots based on the improved A* algorithm

Author:

Xu Yaru1,Liu Rong1

Affiliation:

1. Robotics Institute, School of Mechanical Engineering and Automation, Beihang University, Beijing, China

Abstract

Mobile articulated robots system composed of tractor and multiple articulated trailers is a nonlinear and underactuated system subject to nonholonomic constraints. The significant achievements of path planning for mobile robots with single segment are very difficult to be applied to it directly. For resolving this problem, the kinematics model is established for the system with three segments connected by nonstandard connection type, as well as its trajectory. Equivalent size is introduced that includes two parameters: the distance parameter being the size for enlarging obstacles and the curvature parameter being the minimum turning radius of system. The distance parameter is used to enlarge obstacles in the environment to shrink the system to be a particle. The planning path adopted by the improved A* algorithm can ensure itself as a collision-free and feasible path as long as the maximum path curvature is no larger than the curvature parameter in free space. The comparisons of simulation result show that the improved A* algorithm makes the quality of path optimized and more suitable than A* algorithm under the complex environment.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Path planning for unmanned load–haul–dump machines based on a VHF_A* algorithm;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-30

2. A Priority-based Dynamic Chain Operation Planning Model;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10

3. Trajectory Planning for an Articulated Tracked Vehicle and Tracking the Trajectory via an Adaptive Model Predictive Control;Electronics;2023-04-24

4. Robot path planning based on concept lattice;International Journal of Approximate Reasoning;2023-02

5. Configuration-aware model predictive motion planning for Tractor–Trailer Mobile Robot;Advanced Robotics;2022-09-30

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