Laurence A. Gan Lim
Papers
13
Total Citations
112
H-Index
5
About
Laurence A. Gan Lim is a pioneering robotics researcher whose work centers on swarm intelligence, modular multi-agent systems, and autonomous unmanned vehicles. His most impactful contribution, “Swarming Algorithm for Unmanned Aerial Vehicle (UAV) Quadrotors” (55 citations), established foundational methods for decentralized swarm behaviors including aggregation, foraging, formation, and tracking—critical for real-world UAV operations. Gan Lim has also advanced underwater communication networks through swarm robotics, and developed symbiotic models for modular mobile robots performing cooperative linear traversal and load-pushing tasks. His interdisciplinary approach extends to bomb detection with the “BombNose” system, which uses machine learning and electronic nose sensor substitution for safety applications, and to real-time object detection via SSD algorithms on edge devices like the Raspberry Pi. Notably, he has applied the Moving Particle Semi-Implicit method to control swarm collision avoidance, demonstrating novel physics-inspired solutions for multi-robot coordination. With over 100 cumulative citations and a consistent focus on practical, scalable robotic systems—from EOD crane arms to modular reconfigurable platforms—Gan Lim’s work bridges theoretical swarm intelligence and tangible engineering, offering students and researchers a compelling model of innovation in autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
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- 2Swarm Robot System for Underwater Communication Network8 citations · 2014
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- 9Design of a Fuzzy Control Crane type robot arm for EOD application4 citations · 2021
- 10Swarm Collision Avoidance using Moving Particle Semi-Implicit Method4 citations · 2021