Building robots that think, act, and plan like humans.

We enable cognitive robotic characteristics using model-based techniques: a set of methods to model the robot and its environment, and algorithms that use these models to provide our desired functionality.

The functionalities we are presently most interested in include reasoning about the environment, adaptability, risk-assessment, human-robot collaboration, and multi-agent planning.

We focus on scenario-driven research, grounding our methods in real-world problems such as assembly and manufacturing, autonomous driving, deep space exploration, healthcare and household assistance, search and rescue, and underwater exploration.