Krishnan Srinivasan

Krishnan is a second year PhD candidate advised by Jeannette Bohg in the Computer Science department. His primary research interests include robotics, reinforcement learning, and learning from demonstration, and has previously worked on interactive perception, in-hand manipulation, and human-robot interaction. One of his current research directions is recording and classifying human manipulation skills and primitives that can be extended to robotic manipulation strategies, and identifying what level of structural priors are needed to make learning efficient and practical. In his spare time, he enjoys running, hiking, reading, and cooking, and practices mindfulness and zen meditation. Outside of research, he is interested in learning Japanese (which he currently speaks at an intermediate level), photography, and ceramics.