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About

Qiang Lai is a leading researcher in swarm intelligence, mobile robotics, and nonlinear dynamics, with a focus on path planning, navigation, and coordination in complex environments. His most-cited work introduces an adaptive dynamic firefly algorithm for mobile robot path planning, significantly improving optimization efficiency and robustness in obstacle-dense settings (27 citations). Lai further advances the field by integrating memristive neural networks (MNN) with chaotic dynamics to enhance robot navigation, particularly for IoT-based systems operating under extreme conditions (16 citations). His research also addresses multi-robot coordination for diffusive threat defense, demonstrating how nonholonomic robots can collaboratively neutralize environmental hazards (7 citations). Collectively, Lai’s contributions bridge theoretical nonlinear dynamics and practical robotics, offering scalable solutions for autonomous navigation and cooperative control. His work has been widely cited for its innovative use of bio-inspired algorithms and memristor-enhanced neural networks, positioning him as a key figure in next-generation robotic systems.