PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Deep Learning for Tactile Sensing: Development to Deployment

NSH 1305

Abstract: The role of sensing is widely acknowledged for robots interacting with the physical environment. However, few contemporary sensors have gained widespread use among roboticists. This thesis proposes a framework for incorporating sensors into a robot learning paradigm, from development to deployment, through the lens of ReSkin -- a versatile and scalable magnetic tactile sensor. [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Learning and Translating Temporal Abstractions of Behaviour across Humans and Robots

NSH 4305

Abstract: Humans are remarkably adept at learning to perform tasks by imitating other people demonstrating these tasks. Key to this is our ability to reason abstractly about the high-level strategy of the task at hand (such as the recipe of cooking a dish) and the behaviours needed to solve this task (such as the behaviour [...]