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ORIGINAL RESEARCH article

Front. Neurorobot.
Volume 19 - 2025 | doi: 10.3389/fnbot.2025.1550787
This article is part of the Research Topic Advancing Neural Network-Based Intelligent Algorithms in Robotics: Challenges, Solutions, and Future Perspectives - Volume II View all articles

Construction of Multi-Robot Platform Based on Dobot Robots

Provisionally accepted
  • 1 Columbia University, New York City, United States
  • 2 East China University of Technology, Nanchang, Jiangxi Province, China

The final, formatted version of the article will be published soon.

    For the researches of cooperative control scheme for multirobot systems, this paper sets up an experimental platform based on dobot robots, which can be used to perform physical experiments to verify related schemes. A distributed scheme is proposed to achieve cooperative control for multirobot systems. Simulation results prove the effectiveness of the distributed scheme. Then, the experimental platform based on dobot robots is built to verify the proposed scheme. Specifically, a computer sends data to the microcontroller inside the host through WiFi communication, then the host distributes data to the slaves. Finally, the physical experiment of related schemes is performed on the experimental platform. Comparing the simulations with the physical experiments, the task is successfully completed on this experimental platform, which proves the effectiveness of the scheme and the feasibility of the platform. The experimental platform developed in this paper possesses the capability to validate various schemes and exhibits strong expandability and practicality.

    Keywords: distributed control, robot kinematics, multirobot systems, simulations and physical experiments, Multi-robot Platform

    Received: 24 Dec 2024; Accepted: 08 Jan 2025.

    Copyright: © 2025 HAN and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: JINCHI HAN, Columbia University, New York City, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.