Research Topics

Advancing reliable robot decision-making by coupling perception, reasoning, and action.

Safe Robot Autonomy

Overview

Placeholder — describe the lab's work on certifying and enforcing safety for autonomous robots operating in uncertain, real-world environments.

Machine Learning & Control

Overview

Placeholder — describe the lab's work bridging data-driven learning methods with classical control theory for robust robot performance.

Semantic Safety Constraints

Overview

Placeholder — describe the lab's work on grounding high-level semantic understanding of a scene into formal, enforceable safety constraints.