Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Aya Hussein, Leo Ghignone, Tung Nguyen, Nima Salimi, Hung Nguyen, Min Wang, Hussein A. Abbass
- 发表年份
- 2018
- 访问权限
- 开放获取
摘要
Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts ranging from search-and-rescue situations to Cyber defence. The two decision making cycles of swarms and humans operate on two different time-scales, where the former is normally orders of magnitude faster than the latter. Closing the loop at the intersection of these two cycles will create fast and adaptive human-swarm teaming networks. This paper brings desperate pieces of the ground work in this research area together to review this multidisciplinary literature. We conclude with a framework to synthesize the findings and summarize the multi-modal indicators needed for closed-loop human-swarm adaptive systems.
关键词
相关论文
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
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
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