BodyGuards: Escorting by Multiple Robots in Unknown Environment under Limited Communication
Zhuoli Tian, Yanze Bao, Meng Guo
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
Multi-robot systems are increasingly deployed in high-risk missions such as reconnaissance, disaster response, and subterranean operations. Protecting a human operator while navigating unknown and adversarial environments remains a critical challenge, especially when the communication among the operator and robots is restricted. Unlike existing collaborative exploration methods that aim for complete coverage, this work focuses on task-oriented exploration to minimize the navigation time of the operator to reach its goal while ensuring safety under adversarial threats. A novel escorting framework BodyGuards, is proposed to explicitly integrate seamlessly collaborative exploration, inter-robot-operator communication and escorting. The framework consists of three core components: (I) a dynamic movement strategy for the operator that maintains a local map with risk zones for proactive path planning; (II) a dual-mode robotic strategy combining frontier based exploration with optimized return events to balance exploration, threat detection, and intermittent communication; and (III) multi-robot coordination protocols that jointly plan exploration and information sharing for efficient escorting. Extensive human-in-the-loop simulations and hardware experiments demonstrate that the method significantly reduces operator risk and mission time, outperforming baselines in adversarial and constrained environments.
关键词
相关论文
基于嵌入式语言模型的多机器人系统动态重构
Shokhikha Amalana Murdivien, Jongsu Park, Jumyung Um
Robotics and Computer-Integrated Manufacturing · 2026
基于大语言模型增强的多智能体强化学习的无人机博弈分层决策
Xinyu Dong, Bo Li, Guangyu Zhang 等 5 位作者
Aerospace Science and Technology · 2026
水下残骸区域多UUV协同覆盖搜索的编队优化与避碰决策方法
Haomiao Yu, Zeyuan Zhang, Yantian Ma
Robotics and Autonomous Systems · 2026
人在回路中的群体机器人:一种用于真实土壤测绘的仿生群体方法
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu 等 6 位作者
2026