Mao Lin

Jiangsu Agri-animal Husbandry Vocational College

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About

Dr. Mao Lin is a researcher whose work centers on robotics, intelligent control, and optimization algorithms—particularly in the domain of autonomous navigation and obstacle avoidance. His most notable contribution is the development of a robot obstacle avoidance method based on an improved genetic algorithm (GA), published in 2018. This work addresses a critical challenge in robotics: enabling machines to navigate complex environments while optimizing kinematic planning. By enhancing the standard GA with adaptive evolutionary strategies, Dr. Lin’s approach significantly improves a robot’s spatial awareness and collision-avoidance capabilities, offering a more efficient and robust solution for real-time path planning. The paper has garnered 15 citations, reflecting its relevance to researchers working on autonomous systems and evolutionary computation. Dr. Lin’s research bridges theoretical optimization with practical robotics applications, making his work valuable for engineers and scientists developing smarter, more adaptive robots for industrial, service, and exploratory tasks. His contributions continue to influence the design of intelligent motion control systems.