Mengmeng Li

NARI Group (China), Zhengzhou University

Papers

Total Citations

H-Index

About

Mengmeng Li is a pioneering researcher at the intersection of robotics, neuroscience, and bio-inspired control systems. Her work primarily focuses on multi-robot coordination and the emerging field of avian robotics—developing robots that integrate biological neural signals for motion control. Li’s most cited paper, “MADDPG Algorithm for Coordinated Welding of Multiple Robots” (2021, 10 citations), introduces a deep reinforcement learning framework (MADDPG) to solve continuous-state, continuous-action coordination problems in industrial multi-robot welding, offering a scalable solution for complex manufacturing tasks. In a bold departure from traditional UAV control, Li explores the neural encoding of flight states in pigeons, as seen in her 2024 study decoding midbrain motor nuclei signals (3 citations). She further pushes boundaries by using micro-stimulation to evoke instinctive fear responses for controlling pigeon robot locomotion (2023, 3 citations), a novel approach that leverages biological perception and decision-making. These contributions not only advance autonomous systems but also open new pathways for hybrid bio-robotic interfaces, positioning Li as a leader in merging artificial intelligence with living neural architectures.