Papers
3
Total Citations
32
H-Index
3
About
Liu Huan is a researcher whose work spans robotics, autonomous systems, and multi-agent coordination, with contributions ranging from foundational robot hand control architectures to cutting-edge unmanned aerial vehicle (UAV) formation algorithms. Early in their career, Liu made a notable contribution to robotics with the development of GeSAM, a generic robot hand controller that separated low-level hardware control from high-level functionality, enabling device-independent dexterous hand operation — a paper that has garnered 15 citations and remains a meaningful reference in the field. More recently, Liu has focused on multi-UAV systems, tackling the complex challenges of flocking, reconfiguration, and formation control. By innovating upon artificial physics methods, Liu addressed critical limitations such as local optimal solution convergence, producing work that has attracted 11 and 6 citations respectively. Collectively, these contributions demonstrate a sustained commitment to solving real-world control and coordination problems in robotics and autonomous systems. Liu's research bridges classical robotics engineering with modern swarm intelligence, making their body of work relevant to students and practitioners interested in both foundational control theory and emerging autonomous vehicle technologies.
Research Focus
Key Achievements
Top Papers
- 1Building a generic architecture for robot hand control15 citations · 1988
- 2UAVs flocking and reconfiguration control based on artificial physics11 citations · 2017
- 3Multi-UAV formation control method based on modified artificial physics6 citations · 2016