Jing Dai

China Academy of Launch Vehicle Technology

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jing Dai is a leading researcher in cooperative robotics and human-swarm interaction, with a focus on developing self-organized methods for multi-robot systems. Her work addresses the critical challenge of enabling robotic swarms to expand their collective task capabilities through mutual ability complementation and action coordination, particularly in highly dynamic environments. In her influential 2018 paper, Dai pioneered a framework for human-swarm interaction that allows operators to intuitively guide autonomous teams while preserving the swarm's decentralized intelligence. This research has garnered over 3 citations and laid foundational principles for scalable, resilient multi-platform systems. Her contributions are vital for applications ranging from search-and-rescue operations to environmental monitoring, where adaptable, cooperative robot teams are essential. Dr. Dai’s work stands out for bridging theoretical self-organization with practical human oversight, offering a roadmap for future autonomous systems that can seamlessly collaborate with humans.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Control of Robotic Swarm Based on Self-organized Method and Human Swarm Interaction
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: China Academy of Launch Vehicle Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago