Xiaoxiao Mi

Shanghai Jiao Tong University, Ningbo University of Technology

Papers

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About

Xiaoxiao Mi is a researcher at the forefront of intelligent control systems and multi-agent coordination, with a particular focus on resource-constrained cooperative robotics. Her most influential work, "Self-Triggered DMPC Design for Cooperative Multiagent Systems" (2019, 89 citations), addresses a critical challenge in multi-robot systems: achieving cooperative objectives while minimizing communication and computational overhead. By co-designing a self-triggered mechanism with distributed model predictive control (DMPC), Mi's approach enables agents to autonomously determine when to communicate and recompute control actions, significantly improving efficiency without sacrificing performance. This work has become a key reference for researchers working on networked control systems and resource-aware autonomy. More recently, Mi has extended her expertise to environmental robotics with "Fuzzy-Based PID Motion Control for Inhalation-Type Floating Garbage Cleaning Robots" (2024), where she introduces an intelligent cleaning robot designed to efficiently collect underwater floating garbage. By integrating fuzzy logic with PID control, she simplifies the controller design while enhancing adaptability to dynamic aquatic environments. Her work bridges theoretical control advances with practical, real-world applications in environmental sustainability.