Wan Chew Tan
Papers
1
Total Citations
2
H-Index
1
About
Wan Chew Tan is a researcher specializing in the intersection of autonomous systems and environmental monitoring, with a particular focus on micro-drone navigation and chemical plume tracking. Their most notable work, "A Simulation Study of Micro-Drone Chemical Plume Tracking Performance in Tree Farm Environments" (2017), has garnered 2 citations, establishing a foundational contribution to the field of robotic olfaction in complex, unstructured terrains. This study explores how small unmanned aerial vehicles can effectively locate and follow chemical trails in agricultural settings, addressing critical challenges in precision agriculture, environmental hazard detection, and search-and-rescue operations. By simulating realistic tree farm environments, Tan’s research provides key insights into the limitations and optimization of drone-based sensing algorithms, offering a practical framework for future experimental validations. Though early in their citation trajectory, this work represents a valuable step toward integrating autonomous drones into real-world ecological monitoring systems. Tan’s contributions are particularly relevant for researchers developing bio-inspired navigation strategies and low-cost, scalable solutions for environmental surveillance. Their work underscores the potential of micro-drones to revolutionize how we detect and respond to chemical signatures in natural and managed landscapes.
Research Focus
Key Achievements
Top Papers
- 1