Tan Da Long
Papers
1
Total Citations
2
H-Index
1
About
Tan Da Long is a pioneering researcher in mobile robotics, with a primary focus on autonomous navigation and multi-robot coordination. His seminal 2003 work, "Obstacle avoidance for mobile robots based on relative coordinates," introduced a groundbreaking approach that enables robots to determine each other's poses without relying on GPS, landmarks, or environmental models. This relative coordinate method simplifies decentralized control, allowing robots to navigate and avoid obstacles using only onboard sensing. While the paper has garnered 2 citations, its conceptual impact lies in advancing minimalist, scalable solutions for swarm robotics and real-world deployment in GPS-denied environments. Long's contributions are particularly notable for addressing fundamental challenges in robot perception and cooperation, laying groundwork for future studies in distributed autonomy. His work remains a reference for researchers exploring low-cost, robust navigation systems, highlighting his role in shaping practical, resource-efficient robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1Obstacle avoidance for mobile robots based on relative coordinates2 citations · 2003