Robohub Podcast – Cognitive Robotics Under Uncertainty, with Marlyse Reeves

Listen to another podcast from the team at Robohub. More podcasts from them can be found here.

In this episode, Lilly Clark interviews Marlyse Reeves, PhD student at MIT, about her work in cognitive robotics and hybrid activity-motion planning. Reeves discusses the role of robotics in space, the challenges of multi-vehicle missions, planning under uncertainty, and her work on an underwater exploration mission.

Marlyse Reeves

Marlyse is a third-year PhD student in the Computer Science and Artificial Intelligence Laboratory at MIT. She received her B.S. in Aeronautics and Astronautics from MIT in 2017. Her current research in the Model-based Embedded and Robotic Systems Group focuses on multi-vehicle online planning, incorporating complex dynamics and constraints. She is also interested in risk-aware planning, fault protection and diagnosis, and adaptive sampling. Outside of the lab, she enjoys playing soccer, dancing, and reading science fiction.