Research on self-reconfiguration strategy of modular spherical robot

Author:

Sun Hanxu1,Li Mingzhe1ORCID,Song Jingzhou1ORCID,Wang Yun1ORCID

Affiliation:

1. Space Robot Laboratory, School of Automation, Beijing University of Posts and Telecommunications, Beijing, China

Abstract

Self-reconfigurable robot is a complex system composed of multiple modular robots. Aiming at high efficiency and low energy consumption of self-reconfigurable robot configuration transformation, a self-reconfiguration strategy based on module mapping of the common parts is proposed. This strategy describes the configuration of the robot in the form of a graph, and a method to determine the central node of configuration is proposed. The central node module as the starting node for comparison of different configurations, and the common part between the two configurations is reserved. Then the module closest to the target module is searched, the target configuration is reconfigured from the inside to the outside with the minimum energy consumption constraint. Finally, based on the experiment results, compared with other self-reconfiguration strategies, the proposed self-reconfiguration strategy reduces the times of reconfiguration operations and improves the reconfiguration efficiency.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

Cited by 5 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. Inter-Reconfigurable Robot Path Planner for Double-Pass Complete Coverage Problem;Mathematics;2024-03-19

2. Machine learning for energy efficient modular robots self-reconfiguration;2023 IEEE Smart World Congress (SWC);2023-08-28

3. XK-III: A new three-degree-of-freedom omnidirectional moving spherical robot;2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC);2023-08-11

4. Kinematics Analysis of a Fully Driven Single Pendulum Spherical Mobile Robot;2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE);2022-12-16

5. Achievements and future directions in self‐reconfigurable modular robotic systems;Journal of Field Robotics;2022-12-13

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