Xiaolong Cheng

University of Chinese Academy of Sciences

Papers

1

Total Citations

2

H-Index

1

About

Xiaolong Cheng is a researcher whose work centers on computational geometry and contact mechanics, with a particular focus on collision detection—a critical challenge in mechanical, robotic, structural, and geotechnical engineering. His most notable contribution is the development of a novel 2D collision detection method grounded in Contact Theory, introduced in his 2016 paper. This algorithm innovatively defines two polygons and a reference point to solve accurate contact problems efficiently, offering a streamlined approach to a traditionally complex computational task. While his citation count of 2 reflects a niche but foundational contribution, the method’s potential applications in robotics and structural analysis underscore its significance. Cheng’s work demonstrates a commitment to refining fundamental engineering algorithms, providing a practical tool for researchers and engineers tackling real-world contact and collision challenges. His research bridges theoretical geometry and applied mechanics, making it a valuable reference for those exploring efficient, accurate solutions in multi-body dynamics and simulation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A New and Efficient 2D Collision Detection Method Based on Contact Theory
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago