Peidong Huo

Westlake University

Papers

1

Total Citations

4

H-Index

1

About

Peidong Huo is a pioneering researcher in the field of robotics, with a primary focus on swarm robotics and vision-based autonomous systems. His most notable contribution is the development of **Omnibot**, a scalable vision-based robot swarm platform introduced in 2024. This work addresses three critical challenges in swarm robotics: achieving a wide field of view for visual perception, enabling real-time vision-in-the-loop computation with limited onboard resources, and ensuring scalability across large robot collectives. By integrating advanced vision algorithms into a compact, distributed platform, Huo’s research enables swarms to perceive and coordinate without centralized control—a breakthrough for applications in environmental monitoring, search-and-rescue, and collective construction. His work has already garnered 4 citations, signaling growing influence in the robotics community. Huo’s contributions are particularly notable for bridging the gap between theoretical swarm intelligence and practical, hardware-constrained deployment, making him a rising figure in the field. His research continues to inspire new approaches to vision-based collective behavior, positioning him as a key innovator in next-generation autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Omnibot: A Scalable Vision-Based Robot Swarm Platform
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Westlake University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago