Le Cheng

Papers

Total Citations

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About

Le Cheng is a pioneering researcher in bio-inspired robotics and swarm intelligence, with a focus on applying insect behavior to autonomous navigation. His most notable contributions lie in the development of novel optimization algorithms modeled after cockroach swarms, which he has applied to motion planning for mobile and rod-like robots. In his 2015 paper, "Adaptive Cockroach Colony Optimization for Rod-Like Robot Navigation" (12 citations), Cheng introduced an adaptive variant that enhances navigation efficiency in complex environments. His earlier 2012 work, "A New Cockroach Swarm Optimization for Motion Planning of Mobile Robot" (6 citations), proposed the CSO-EG algorithm, which uses an expansion grid to model the workspace and computes weight factors to guide robot paths. Though his citation counts are modest, Cheng's work represents a creative and underexplored niche in swarm robotics, offering fresh perspectives on decentralized control and obstacle avoidance. His algorithms are particularly valuable for researchers interested in low-cost, nature-inspired solutions for autonomous systems.