Papers
3
Total Citations
17
H-Index
3
About
Chenglei Yang is a researcher whose work lies at the intersection of computational geometry, virtual reality (VR), and robotics. His key contributions center on developing efficient algorithms for spatial reasoning and navigation in complex environments. Yang’s foundational work on Voronoi diagrams established upper bounds on their complexity for multiply connected polygons, a critical insight for path planning and collision detection that has garnered 8 citations. He advanced this area by introducing a hierarchical Voronoi diagram-based method for path planning among polygonal obstacles in 3D virtual worlds, enabling realistic walkthroughs for applications like virtual museums and games. More recently, Yang has pioneered novel navigation methods for VR-based telerobotic systems, allowing supervisors to control remote robots through natural walking in limited physical spaces—a significant step forward for hazardous environment operations. His work bridges theoretical geometry with practical VR and robotic systems, demonstrating impact across multiple domains.
Research Focus
Key Achievements
Top Papers
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