Scholar
Lu Shi
Google Scholar ID: GhAmKBQAAAAJ
Postdoc, Tsinghua University
Citations & Impact
Citations
201
H-index
8
i10-index
8
Publications
13
Co-authors
1
list available
Contact
No contact links provided.
Publications
Resume (English only)
Background
- Robotics researcher with nearly a decade of experience in robotics control systems
- Expertise spans classical control methods (e.g., PID, model-based control) to advanced intelligent frameworks (e.g., reinforcement learning, MPC, vision-language-action models)
- Work bridges theory and practice across diverse platforms: quadrupeds, wheeled-leg robots, mobile bases, robotic arms, dexterous hands, aerial robots, and soft robots
- Ph.D. research focused on operator-based control, particularly Koopman Operator Theory, combining model-based and data-driven approaches
- Current research centers on generalized Real-to-Sim-to-Real (RSR) pipelines, world models, and robust embodied AI systems adaptable across tasks and environments
