Dun-Ming Huang

Papers

1

Total Citations

2

H-Index

1

About

Dun-Ming Huang is a rising researcher in humanoid robotics, with a primary focus on whole-body locomotion and manipulation. His most notable contribution is the development of HumanoidBench, a simulated benchmark designed to accelerate algorithmic research in humanoid robots by overcoming the costly and fragile nature of physical hardware. This work, published in 2024, has already garnered attention with 2 citations, signaling its early impact in the field. Huang’s research addresses critical challenges in enabling humanoid robots to perform complex, real-world tasks by leveraging human-like morphology for flexibility and adaptability. His benchmark provides a standardized platform for testing and comparing algorithms, fostering innovation in whole-body control. As a researcher dedicated to bridging simulation and reality, Huang’s work is poised to influence future advancements in robotics, making humanoid systems more accessible and robust for practical applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago