Papers
36
Total Citations
998
H-Index
18
About
Ming-Feng Ge is a prominent researcher whose work sits at the intersection of networked robotic systems, multi-agent coordination, and control theory. His scholarship has made substantial contributions to how autonomous robots communicate, coordinate, and track targets in complex, real-world network environments. Ge's most influential work addresses the challenge of controlling networked robotic systems under realistic communication constraints — including sampled-data interactions, discrete communications, event-triggered protocols, and switching network topologies. His 2016 paper on distributed controller-estimator frameworks for target tracking (107 citations) laid critical groundwork, followed by hierarchical controller-estimator algorithms for Euler-Lagrange systems (92 citations) that elegantly handle both cooperative and antagonistic interactions. His investigations into bipartite tracking, lag-bipartite formation control, and output multiformation tracking have expanded the theoretical toolkit available for heterogeneous multi-robot coordination under signed and directed graph structures. Beyond purely theoretical contributions, Ge has addressed predefined-time stabilization, underactuated robotic consensus, and practical force-sensing design for robot-assisted manipulation. With over 650 cumulative citations across his top works, his research consistently bridges rigorous mathematical control frameworks with practical robotic applications, making him a valuable reference for students and researchers navigating the rapidly evolving field of networked autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10Designs of Compliant Mechanism-Based Force Sensors: A Review42 citations · 2022