Papers
7
Total Citations
215
H-Index
6
About
Ya Liu is a leading researcher in multi-agent systems, formation control, and aerial robotics, with a particular focus on constrained and tethered systems for space and aerial applications. Her most impactful work, a 2018 paper on distributed formation control using artificial potentials and neural networks for constrained multiagent systems, has garnered 110 citations and established a foundational framework for integrating radial basis function networks with potential field methods to handle nonlinear dynamics and external disturbances under relative distance constraints. Liu’s major contributions include pioneering coordinated control strategies for tethered space net robots (TSNRs) designed for space debris capture, where she formulated capture as a time-varying formation tracking problem with scaling control, and developed active energy management approaches using cooperative game theory. Her work on cooperative transportation with tethered multi-rotor UAVs (71 citations) and neural predictors for flight control with suspended payloads further demonstrates her impact in aerial robotics. With over 200 total citations across her publications, Liu’s research bridges theoretical control design with practical applications in space debris mitigation and autonomous aerial manipulation, making her a notable figure in constrained multi-agent systems and robotic formation control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Coordinated Control for Constrained Multiple Spacecraft System10 citations · 2019
- 4
- 5Design of Mobile Robot Based on Cartographer SLAM Algorithm7 citations · 2019
- 6
- 7Neural Predictor for Flight Control With Payload3 citations · 2025