Research on Reconfiguration Strategies for Self-reconfiguring Modular Robots: A Review

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Robotic Systems Pub Date : 2024-03-18 DOI:10.1007/s10846-024-02067-6
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Abstract

With the progress of science and technology, the traditional robot workplace is fixed, single-function, and inflexible, and may not work properly in some special places, while the modular robot with self-reconfiguration function is a robot that can adapt to new environments and can rely on new task settings, which has a series of universal modules and relies on mutual communication between modules and autonomous reorganization movements to cope with changes in the environment or tasks and recover from the state of destruction. This paper summarizes the representative international research results from the perspective of the hardware design of robots in two aspects based on the design characteristics of self-reconfiguring modular robots around the reconfiguration strategy planning method. At the same time, some existing problems and shortcomings are pointed out on this basis to provide ideas as well as perspectives for future research development.

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自重构模块化机器人的重构策略研究:综述
摘 要 随着科学技术的进步,传统的机器人工作场所固定、功能单一、灵活性差,在一些特殊场所可能无法正常工作,而具有自重构功能的模块化机器人是一种能够适应新环境、能够依赖新任务设置的机器人,它具有一系列通用模块,依靠模块之间的相互通信和自主重组运动来应对环境或任务的变化,并从破坏状态中恢复。本文基于自重构模块化机器人的设计特点,围绕重构策略规划方法,从机器人硬件设计的角度,从两个方面总结了具有代表性的国际研究成果。同时,在此基础上指出了目前存在的一些问题和不足,为今后的研究发展提供思路和展望。
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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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