Weiming Mi

Northeastern University, Tsinghua University

Papers

Total Citations

H-Index

About

Weiming Mi is a robotics researcher focused on advancing human-robot interaction and assistive technologies. His key research areas include mobile service robotics, exoskeleton control systems, and anticipatory robotic behavior. Mi’s major contributions center on developing intelligent frameworks that enable robots to proactively assist humans rather than simply react. His most cited work, “A system for an anticipative front human following robot” (2016, 11 citations), introduced a novel paradigm where a mobile robot leads and anticipates a human’s path, shifting from passive following to proactive guidance—a significant step for service-oriented robots. In “Fuzzy Variable Impedance Adaptive Robust Control Algorithm of Exoskeleton Robots” (2019, 6 citations), Mi tackled the challenge of flexible exoskeleton control by proposing a fuzzy adaptive robust algorithm that dynamically adjusts impedance, enhancing safety and comfort for users. This work addresses critical issues in wearable robotics for rehabilitation and assistance. While his citation counts reflect a growing field, Mi’s research demonstrates a clear vision for intuitive, human-centric robot behavior, making him a notable contributor to the next generation of collaborative and assistive robotic systems.