Papers
2
Total Citations
9
H-Index
2
About
Seth Lee is a researcher in mobile robotics, with a focus on intelligent navigation and obstacle avoidance. His work centers on developing algorithms that enable robots to move autonomously in dynamic environments, particularly in competitive settings like robot soccer. Lee’s major contributions include the proposal of the fuzzy ring univector field (FRUF) scheme, a novel method that allows mobile robots to simultaneously avoid obstacles and reach goals. This approach, detailed in his 2004 paper, was specifically designed for the high-speed, multi-robot environment of the RoboCup F180 league. Earlier, in 2002, he introduced a local path planning algorithm that uses ultrasonic sensors to create a grid-based world map and the distance profile histogram (DPH) for real-time obstacle avoidance. While his citation counts are modest—5 and 4 respectively—these papers represent foundational work in practical, sensor-driven navigation. Lee’s research is notable for its direct application to robot soccer, a challenging testbed for autonomous systems, and for its integration of fuzzy logic with path planning, offering a robust solution for real-world mobile robot control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Obstacle avoidance navigation using a local path planning method4 citations · 2002