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About

Haina Rong is a leading researcher at the intersection of bio-inspired computing and autonomous robotics, with a particular focus on membrane computing and intelligent control systems. Her work has fundamentally advanced how robots navigate complex, dynamic environments and achieve stable bipedal locomotion. Rong’s most influential contribution is the mMPSO algorithm, a modified membrane-inspired system that integrates particle swarm optimization for multi-objective mobile robot path planning in dangerous settings with dynamic obstacles—a paper that has garnered 60 citations and established her as a pioneer in this niche. She further extended membrane computing to robotics with a multi-behaviors coordination controller using enzymatic numerical P systems (36 citations), enabling autonomous navigation in unknown environments. More recently, Rong has tackled the formidable challenge of biped robot control, introducing an entropy-weighted numerical gradient optimization spiking neural system (18 citations) and a constrained deep deterministic policy gradient (DDPG) strategy for safe, accurate gait optimization (8 citations). Her human-simulated intelligent walking control scheme represents the latest evolution of her work, aiming to replicate human-like stability in bipedal machines. With a career spanning a decade of high-impact publications, Rong continues to shape the future of intelligent, adaptive robotics.