Papers

2

Total Citations

21

H-Index

2

About

Xia De-shen is a pioneering researcher in multi-agent robotics and artificial intelligence, with a focus on self-organization and reinforcement learning in dynamic environments. His seminal 2005 paper, "Study of Self-Organization Model of Multiple Mobile Robot," which has garnered 17 citations, introduces a sociology-inspired framework that optimizes robot team efficiency by reducing interaction complexity and computational demands—a foundational contribution to decentralized multi-robot coordination. In parallel, his work "Reinforcement learning in simulation RoboCup soccer" (2005, 4 citations) tackles the grand challenge of multi-agent collaboration in unpredictable settings, using RoboCup as a benchmark to advance AI solutions for human-robot and robot-robot competition. Xia’s research bridges theoretical models and practical applications, offering key insights into how autonomous agents can learn and adapt collectively. His achievements underscore a commitment to solving complex coordination problems, positioning him as a notable figure in the evolution of intelligent, self-organizing robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Study of Self-Organization Model of Multiple Mobile Robot
17 citations · 2005
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Science and Technology, Nanjing University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago