Papers
2
Total Citations
8
H-Index
2
About
Weifeng Huang has made focused contributions to the field of autonomous mobile robotics, with particular emphasis on vision-based navigation and path planning in constrained environments. His research addresses the fundamental challenge of enabling robots to navigate safely through unknown spaces while avoiding obstacles. In his most cited work, "Vision-based path planning with obstacle avoidance for mobile robots using linear matrix inequalities" (2010, 6 citations), Huang introduced an innovative approach that transforms the collision-free path planning problem into a convex optimization framework solvable through linear matrix inequalities. This mathematical formulation provides elegant guarantees for path feasibility and safety. His earlier work, "Rapid path planning of mobile robots in unknown environment" (2009, 2 citations), proposed a novel concept of "free roads" to characterize navigable gaps between obstacles, complemented by a danger estimation function for real-time decision-making. While Huang's citation counts reflect a developing research trajectory rather than a highly-cited breakthrough, his work demonstrates rigorous mathematical foundations applied to practical robotics challenges. His contributions are particularly relevant for researchers working on real-time navigation systems for autonomous vehicles and service robots operating in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Rapid path planning of mobile robots in unknown environment2 citations · 2009