Bernadette Bucher
PHD, CIS '23, Assistant Professor, University of Michigan
Bernadette was a Computer Science PhD Student in the GRASP lab at University of Pennsylvania working with Dr. Kostas Daniilidis. Prior to joining GRASP, Bernadette held various positions at Lockheed Martin Corporation from 2014 to 2019, most recently working as a Senior Software Engineer. During that time, she completed graduate courses in computer science from Georgia Institute of Technology. She received her M.A. in Mathematics, M.A. in Economics, and B.S. in Mathematics and Economics from the University of Alabama in 2014. Her research interests broadly focus on the development of meaningful representations of sensory data in robotic systems for intelligent autonomous decision making. In particular, her current work focuses on neuromorphic approaches to deep reinforcement learning.
Publications
Uncertainty-driven Planner for Exploration and Navigation
Publisher IEEE Robotics and Automation Society - ICRA
Learning to Map for Active Semantic Goal Navigation
Publisher ICLR
An Adversarial Objective for Scalable Exploration
Publisher IROS
RoboNet: Large-Scale Multi-Robot Learning
Publisher CoRL