Prof. Siddhartha Srinivasa founded the Personal Robotics Lab with the goal of enabling robots to perform complex manipulation tasks under uncertainty and clutter, with and around people. Sidd is also passionate about building end-to-end systems (HERB, ADA, HRP3, CHIMP, Andy, among others) that integrate perception, planning, and control in the real world. Understanding the interplay between system components has helped produce state of the art algorithms for object recognition and pose estimation (MOPED), and dense 3D modeling (CHISEL, now used by Google Project Tango).
Taylor Kessler Faulkner is a postdoc in the Allen School of Computer Science and Engineering at the University of Washington, working with Prof. Srinivasa. Her research interests include human-robot interaction and machine learning. Taylor's recent work is on developing interactive algorithms for robots learning from non-expert human teachers, and she is leading the Robot-Assisted Feeding project at PRL. Taylor received her Ph.D. in Computer Science from The University of Texas at Austin, and her B.S. in Computer Science from Denison University.
Liyiming "Kay" Ke is a PhD student at UW advised by Siddhartha Srinivasa. She is interested in reinforcement learning and applications of artificial intelligence. Kay earned B.S. with honor in Computer Science and Economics from Vanderbilt University.
Matt Schmittle is a PhD student at the University of Washington advised by Siddhartha Srinivasa. His research interests are in using Bayesian and online methods for model-based manipulation. Matt earned his B.S. in Computer and Information Sciences from the University of Delaware. He has previously worked as a research intern in GRASP Lab at UPenn.
Amal Nanavati is a PhD student at the University of Washington advised by Siddhartha Srinivasa and Maya Cakmak. His research interests are in lifelong robot learning, human-robot interaction, and multiparty interactions. Amal earned his B.S. in Computer Science with an additional major in Global Studies from Carnegie Mellon University. He has previously worked as a research student at the HRI Laboratory at Kyoto University, Japan.
Bernie Hao Zhu is a PhD student at the University of Washington advised by Siddhartha Srinivasa. His work is TRASH: Teaching Robotic Agents Skills of Human. His research interests include robotics, computer vision and machine learning. Bernie received his B.Eng. in Computer Science from Zhejiang University. Before joining UW, he was a researcher at Carnegie Mellon University.
Helen Wang is a PhD student at the University of Washington advised by Siddhartha Srinivasa and Dieter Fox. Her research interests are in robot learning, vision, and planning. Helen earned her B.A.Sc in Engineering Science - Robotics Engineering from the University of Toronto.
Sidharth Talia is a Ph.D. student at the University of washington advised by Siddhartha Srinivasa. He currently leads the MuSHR project and is interested in control and estimation for mobile robotics, leaning towards agile autonomy and field robotics. He worked remotely with the P.R.L. before his Ph.D., and has spent significant time in labs as well as start-ups incubated in IIT-Delhi while earning his Bachelors in Technology from Bharati Vidyapeeth College of Engineering Delhi.
Yunchu Zhang is a PhD student at the University of Washington advised by Siddhartha Srinivasa and Abhishek Gupta. He is interested in combining classic and learning methods to make robots smart. Before joining UW, he earned his M.S. from the Robotics Institute at Carnegie Mellon University.