Tabitha ("Tab") is a roboticist and Ph.D. in Robotics researcher at the Robotics Institute at Carnegie Mellon University. She is a member of the Intelligent Autonomous Manipulation group, headed by Prof. Oliver Kroemer. Tabitha's Ph.D. research is in causal robot learning for manipulation: the interplay between robot perception and control through the lens of causality to learn and leverage the causal structure of manipulation tasks. Her research builds toward a causal robot learning system that empowers lifelong autonomous manipulation in challenging, open-world settings, such as homes, hospitals, and restaurants. She is a Siebel Scholar in Computer Science (Class of 2017) based on her M.S. research, where she invented, developed, and deployed a vision-based localization system for an underwater robot that inspects nuclear reactors. This technology was invented with Prof. Nathan Michael and the Resilient Intelligent Systems Lab. Website: tabith.ai
M.S. , Computer Science
Class of 2017