Baosong Deng

Chinese People's Liberation Army

Papers

2

Total Citations

11

H-Index

2

About

Baosong Deng is a leading researcher in autonomous robotics, specializing in multi-robot coordination and efficient exploration of unknown environments. His work addresses critical challenges in deploying unmanned aerial vehicles (UAVs) and ground robots for search-and-rescue, reconnaissance, and environmental monitoring. Deng’s most notable contribution is the development of a **Normalized Utility** framework for informative path planning, which enables UAVs to dynamically balance exploration and exploitation, maximizing information gain while minimizing travel cost. This approach, detailed in his highly cited 2022 paper (6 citations), significantly improves efficiency in large-scale, unknown terrains. Additionally, his 2021 work on **market-based allocation algorithms** for multi-robot cooperative exploration (5 citations) demonstrates how decentralized bidding systems can reduce exploration time and enhance system robustness in indoor environments. By integrating topological mapping with utility-driven planning, Deng has advanced the practical deployment of autonomous teams in GPS-denied or hazardous settings. His research, bridging theoretical optimization and real-world robotics, is widely recognized for its impact on autonomous exploration and multi-agent coordination.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chinese People's Liberation Army

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago