多机器人规划与控制的通用半实物仿真平台及方法

By designing a general-purpose hardware-in-the-loop simulation platform for multi-robot planning and control, and by combining small omnidirectional mobile robots with virtual obstacles, the platform solves the problems of poor simulation verification effect and large limitations of physical verification systems in existing multi-robot algorithm testing platforms, and realizes efficient and low-cost multi-robot experimentation and algorithm iteration.

CN117784637BActive Publication Date: 2026-07-17NAT UNIV OF DEFENSE TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Filing Date
2024-01-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing multi-robot planning and control algorithm testing platforms suffer from poor simulation verification results and significant limitations in physical verification systems. They cannot reproduce algorithm test results in real-world environments, and physical experiments are time-consuming, costly, and have poor scalability.

Method used

A general-purpose hardware-in-the-loop simulation platform for multi-robot planning and control is designed. It adopts a small omnidirectional mobile robot combined with the virtual presentation of the test scenario. Virtual and physical obstacles are simulated through a touch screen. The robot motion control is realized by wireless communication and control algorithms, and a user-friendly human-machine interface is provided.

Benefits of technology

It improves the reliability and efficiency of algorithm testing, reduces physical robot wear and tear, supports large-scale multi-robot trials, simplifies the test preparation process, enhances the demonstration of test results, supports user-defined task environments and parameters, and reduces algorithm iteration time.

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Abstract

本申请涉及一种多机器人规划与控制的通用半实物仿真平台及方法。所述通用半实物仿真平台采用小型全向移动机器人实物设计结合试验场景虚拟呈现的方式,能够支持用户自定义任务环境、任务类型、团队规模及多机器人物理特性等初始参数,并提供友好的人机交互接口,方便使用者随时对试验过程实施干预;可输出详尽的过程数据,提升试验效果展示度,减少实物机器人损耗,同时加速算法的更新迭代过程。
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