Ahalya PrabhakarPhD StudentAdviser: Todd Murphey
How can we enable robots to learn representations of the world that allow for robust performance and control? My work focuses on robot learning for flexible task representations from variable, imperfect human demonstrations and high-dimensional sensory learning using distribution-based methods and information-theoretic measures.
MS in Mechanical Engineering from Northwestern University, 2016
BS in Mechanical Engineering from California Institute of Technology, 2013