Pin-Yun Hung

Papers

1

Total Citations

2

H-Index

1

About

Dr. Pin-Yun Hung is a leading researcher in interactive robotics and multi-agent systems, with a primary focus on developing frameworks that enable robots to navigate and collaborate effectively in human-centric environments. Their most notable contribution is the introduction of "Imagined Potential Games," a groundbreaking framework for simulating, learning, and evaluating interactive behaviors in complex scenarios. This work addresses the critical challenge of robotic navigation in indoor spaces where collision avoidance and collaborative interaction with human agents are essential. By modeling these interactions as potential games, Dr. Hung's approach allows robots to anticipate and adapt to human behavior in real-time, moving beyond traditional static obstacle avoidance. Although their seminal 2024 paper has already garnered 2 citations, reflecting its emerging impact, the work is poised to influence the next generation of socially-aware navigation systems. Dr. Hung's research bridges the gap between game theory and robotics, offering a principled method for designing robots that can safely and intuitively share spaces with people. Their contributions are particularly valuable for applications in service robotics, autonomous mobility, and human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago