Papers
25
Total Citations
319
H-Index
10
About
Steven Liu is a robotics and control systems researcher whose work spans mobile robotics, human-robot collaboration, and multi-robot coordination. His research addresses some of the most pressing challenges in autonomous systems, including robust motion control under uncertainty, sensor fusion for localization, and intuitive human-robot interaction. Liu's most cited contribution (50 citations) tackles the complex problem of wheeled mobile robot posture control, integrating nonlinear model predictive control to handle real-world imperfections such as skidding, slipping, and torque saturation — challenges that often cripple practical deployments. His earlier work on event-based control and scheduling codesign (32 citations) demonstrated foresight in addressing networked embedded control systems, while his sequential fusion estimation approach (33 citations) advanced localization reliability in dynamic wireless sensor environments. More recently, Liu has made significant strides in human-robot collaboration, developing systems for motion capture using Kinect and IMUs, adaptive handover control using dynamic movement primitives, and reinforcement learning-based shared impedance control. His analytical inverse kinematics solution for the Franka Emika Panda robot (22 citations) has become a valuable practical resource for the robotics community. Collectively, his portfolio reflects a researcher deeply committed to bridging theoretical rigor with deployable, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 9On-line Motion Prediction and Adaptive Control in Human-Robot Handover Tasks18 citations · 2019
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