Way-Ren Huang
Papers
1
Total Citations
7
H-Index
1
About
Way-Ren Huang is a robotics researcher whose work centers on intelligent navigation systems for autonomous mobile robots. His most influential contribution, "An Improved Minimum-Cost Pathfinding Algorithm for Mobile Robot Navigation" (2013, 7 citations), advances the classic A* algorithm by integrating real-time obstacle avoidance with cost-optimal path planning. Huang’s key innovation lies in leveraging passive RFID tags arranged on Cartesian grids to provide precise localization feedback, enabling robots to dynamically recalculate efficient routes in cluttered environments. This hybrid approach—combining heuristic search with physical sensing infrastructure—addresses a critical challenge in autonomous navigation: balancing computational efficiency with robust collision avoidance. While his citation count reflects a focused, early-stage impact, the work demonstrates practical engineering insight by bridging theoretical pathfinding with real-world sensor constraints. Huang’s research is particularly relevant for warehouse automation, service robotics, and industrial logistics, where reliable navigation in structured spaces is essential. His algorithm offers a scalable solution for environments requiring both precision and adaptability, marking a meaningful step toward more intelligent and self-sufficient mobile systems.
Research Focus
Key Achievements
Top Papers
- 1