Max Robotics — Global Service Robot Directory + US Certification

About

Maobin Lu’s research lies at the intersection of multi-agent systems, nonlinear control theory, and game theory, with a particular focus on the control and coordination of uncertain Euler-Lagrange systems—a class of models that describe many robotic and mechanical systems. His most influential work, a 2019 paper on leader-following consensus under unknown dynamic leaders, has garnered 89 citations, establishing a foundational approach for handling both reference trajectories and external disturbances in uncertain multi-agent networks. Lu has further advanced this line of inquiry by developing adaptive distributed controllers that eliminate the need for exchanging controller states among agents, as seen in his 2018 paper (11 citations), and by addressing output feedback control via internal models (2023, 13 citations). Expanding into game-theoretic robotics, his 2024 work on robust distributed Nash equilibrium seeking under communication constraints (10 citations) tackles the challenges of switching networks and limited communication—critical for real-world deployment. He has also explored multi-robot confrontation scenarios, such as pursuit-evasion games with limited motion ranges. Through these contributions, Lu has significantly advanced the theory and application of distributed control for uncertain, networked systems.