Yipeng Huang
Papers
2
Total Citations
34
H-Index
2
About
Yipeng Huang is a researcher focused on advancing the reproducibility and sustainability of robotics systems through benchmarking and simulation. His most notable contribution is the development of RoboBench, a pioneering platform for sharing full-system robot simulations designed to enable reproducible research. RoboBench addresses critical challenges in robotics, particularly the software incompatibilities that hinder benchmarking across different systems. This work has garnered 32 citations, reflecting its growing influence in the field. Huang’s research addresses a fundamental need for standardized evaluation methods in robotics, helping researchers and practitioners compare and validate their systems more effectively. By promoting open-source simulation sharing, his work supports the broader goal of sustainable and collaborative robotics research. Huang also contributed to the proceedings of the First International Conference on Intelligent Robotics and Applications (ICIRA 2008), underscoring his early engagement with the robotics community. His efforts are particularly valuable for students and researchers seeking reliable, reproducible benchmarks to accelerate innovation in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1RoboBench: Towards sustainable robotics system benchmarking32 citations · 2016
- 2