I'm a graduate student in Robotics at Johns Hopkins University, with a background in Mechanical Engineering and Electrical & Computer Engineering.
My work lies at the intersection of:
- Robotics
- Computer Vision
- Robot Learning
- Human-Robot Interaction
- Embodied AI
I'm broadly interested in developing robotic systems that can perceive complex environments, learn effective behaviors, and interact safely with the real world.
- Robot Learning for control, adaptation, and decision-making
- Computer Vision for robotics, scene understanding, and perception
- Human-Robot Collaboration in real-world environments
- Embodied AI for manipulation, navigation, and autonomous systems
- Medical / Surgical AI for video understanding and foundation models
- Mechanical Design and system integration for robotic platforms
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Scaling Video Pretraining for Surgical Foundation Models
S. Lu, Z. Xiao, J. Wei, D. Sun, Q. Lu, K. Hu, Y. Feng, J. Wu, Z. Yang, Z. Liu
arXiv preprint, 2026 Β· [Paper] -
RustGAN: A method to generate rusty screw with physicochemical constraints
S. Lu, C. Xu, Q. Lin, Y. Gao, Z. He
2024 International Conference on Advanced Mechatronic Systems (ICAMechS), 2024 Β· [Paper]
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claude-hud-glm
Statusline HUD plugin for Claude Code: context usage, active tools, running agents, and GLM API balance -
SurgRec-open-source
Official code release scaffold for SurgRec surgical foundation model experiments -
YOLO-v5-VGG16-for-Screw-Detection
Vision-based screw detection and condition recognition for industrial scenarios -
ZJU-CarbonViz
Data visualization project for carbon emissions analysis -
ME-270
Design for Manufacturability coursework and engineering design work -
ME-370
Mechanical Design I projects and related implementations
- π€ Robot learning for control and embodied decision-making
- ποΈ Vision-based perception for robotics and real-world interaction
- π₯ Surgical video understanding and foundation models
- π¦Ύ Human-robot collaboration with manipulation systems
- π οΈ Integrating learning, perception, and mechanical design into deployable robotic platforms
- Robotics: Kinematics, Control, Motion Planning, Manipulation
- Vision: Detection, Recognition, Scene Understanding, Vision for Robotics
- AI / ML: Deep Learning, Reinforcement Learning, Representation Learning
- Engineering: Mechanical Design, System Integration, Prototyping
- Programming: Python, C++, MATLAB, TypeScript
Johns Hopkins University
Graduate Student in Robotics
Zhejiang University & University of Illinois Urbana-Champaign
Dual Degree Program at ZJU-UIUC Institute
- Mechanical Engineering Major
- Electrical and Computer Engineering Minor