Papers
1
Total Citations
4
H-Index
1
About
Yu-Hao Sun is a leading researcher at the intersection of robotics and artificial intelligence, with a primary focus on robot learning for manipulation and the integration of foundation models into autonomous systems. His most notable contribution is the comprehensive survey, "What Foundation Models Can Bring for Robot Learning in Manipulation," published in 2025, which has already garnered 4 citations—a strong early indicator of its influence in this rapidly evolving field. In this work, Sun systematically explores how large-scale pre-trained models can overcome the long-standing challenge of enabling robots to manipulate objects in unstructured, dynamic environments. By bridging the gap between high-level AI reasoning and low-level physical control, his research provides a critical roadmap for achieving the long-sought goal of universal, task-adaptive robots. Sun’s work is particularly impactful for students and researchers seeking to understand the synergy between foundation models and robotic manipulation, offering both a foundational survey and a forward-looking perspective on learning-based approaches. His contributions are shaping the next generation of intelligent, adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1