Research
OUR RESEARCH
From mathematical guarantees to robots that work
Our work connects fundamental algorithms with demanding real-world systems.
Check out our research statement.
Explore the full portfolio
2023–Now
Prompt-to-Product: Unleashing Creativity with AI and Robots
From an abstract idea to a robot-built physical product.
2023–Now
Humanoid Robots: Safety and Dexterity
2023–Now
Neural-Symbolic Robotics: Learning and Reconfiguring Task Structure
Connecting human intent, symbolic task structure, and learned visuomotor control.
2022–Now
Toward Lifelong Safety of Autonomous Systems in UIE
2025–2026
PerSEVE (Perception by Segmentation, Extensible Visual Ecosystem)
PerSEVE develops dataset and foundation perception models for manufacturing.
2024–2026
Koopman Theory for Robot Learning and Control
We develop Koopman-based methods for scalable learning, prediction, control, and safety.
2023–2025
State-wise Safe and Robust Reinforcement Learning for Continuous Control
2021–2025
Real-Time Systems for Human-Robot Interaction and Industrial Metaverse
2023–2024
Enhancing and Verifying the Robustness of Learning-based Systems
2019–2024
Automatic Onsite Grinding of Large Complex Surfaces
2022–2023
Proactive Safe Human-Robot Interaction
2020–2022
Safe Uncaged Industrial Robots
2020–2021
Hierarchical Motion Planning for Efficient and Provably Safe HRI
2019–2021
6DoF Robot Assembly Station of Consumer Electronic Production
2019
Adaptable Behavior Prediction for Autonomous Driving
2012–2018
Past Projects