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).
Oren Salzman completed his PhD in the School of Computer Science at Tel Aviv University, under the supervision of Prof. Dan Halperin. He is currently a postdoctoral researcher at Carnegie Mellon University working with Siddhartha Srinivasa and Maxim Likhachev. His research focus is robot motion planning. Specifically, his research focuses on revisiting classical computer science algorithms, tools and paradigms to address the computational challenges that arise when planning motions for real-world robots. Combining techniques from diverse domains such as computational geometry, surface simplification, random geometric graphs, graph theory and machine learning, he strives to provide efficient algorithms with rigorous analysis for robot systems with many degrees of freedom moving in tight quarters. He earned his BSc with honors from the Technion and his MSc with honors from Tel Aviv University.
Daqing Yi completed his PhD in the Department of Computer Science at Brigham Young University, under the supervision of Prof. Michael Goodrich. His research interests include motion planning, human-robot interaction and intelligent systems. He earned his BS and MS from Tongji University in China.
Tapomayukh "Tapo" Bhattacharjee completed his PhD in Robotics from Georgia Tech under the supervision of Prof. Charlie Kemp. His primary research interests are in the fields of haptic perception, machine learning, manipulation and human-robot interaction. He believes in the potential of using multimodal haptic signals to enhance robot manipulation capabilities in unstructured environments as well as around humans. He aims to achieve this by inferring relevant properties of the world using physics-based and data-driven methods.
Stefanos Nikolaidis completed his PhD studies at the Carnegie Mellon's Robotics Institute working with Siddhartha Srinivasa, and he is currently a research associate at the University of Washington, Computer Science and Engineering. His research focuses on algorithms enabling robots to fluidly interact with their human teammates in real-world collaborative tasks. Stefanos has a MS from MIT, a MEng from the University of Tokyo and a BS from the National Technical University of Athens. He has worked as a research specialist at MIT and as a researcher at Square-Enix video-game company in Tokyo.
Sanjiban Choudhury completed his PhD in Robotics from Carnegie Mellon University, under the supervision of Prof. Sebastian Scherer. He is currently a postdoctoral researcher at University of Washington working with Prof. Siddhartha Srinivasa. His research focus is on problems at the intersection of machine learning and motion planning. During his PhD, he developed the motion planning architecture, that integrated learning and planning, for an autonomous full-scale helicopter. Sanjiban has a MS from CMU, a BTech and MTech from IIT Kharagpur. He has also worked at Microsoft Research as in intern on imitation learning for sequential decision-making. He is a Siebel Scholar, class of 2013.
Gilwoo Lee is a PhD student at UW advised by Siddhartha Srinivasa. Her research interests are manipulation and reinforcement learning. Gilwoo has received B.S. in Computer Science and Mathematics and M.Eng. in Computer Science from MIT, and has received M.S. in Robotics from Carnegie Mellon University. Gilwoo has previously worked as a technical director at Dreamworks Animation Studios, a research associate at Canon Headquarters and Disney Animation Studios, and a PhD research intern at Oculus Research Pittsburgh. She's a recepient of Samsung Scholarship (2006-2010), Kwanjeong Scholarship (2015-current), and CMU's Presidential Fellowship (2017).
Brian Hou is a PhD student at the University of Washington working with Siddhartha Srinivasa. His research interests lie at the intersection of machine learning and manipulation. Brian received his BS in Electrical Engineering and Computer Science from Berkeley, and started his PhD at the Robotics Institute before joining the University of Washington. He is supported by the NASA Space Technology Research Fellowship.
Aditya is a PhD student advised by Siddhartha Srinivasa. His current research interests include mechanics, control and motion planning of robot manipulators and mobile robots. He graduated from Indian Institute of Technology Madras with a B.Tech in Mechanical Engineering. He has previously been at the Robotics Insitute, CMU as an MS student, and worked as a Research Assistant at the Personal Robotics Lab, CMU.
Jeongseok "JS" Lee is a PhD student in the Computer Science & Engineering advised by Siddhartha Srinivasa. His research interests are multibody dynamics and motion planning. He graduated from Seoul National University with B.S. in Naval Architecture and Ocean Engineering. He has previously worked as a visiting scientist at UW, a senior systems/software engineer at CMU, and a research scientist at Georgia Tech.
Sherdil Niyaz received a B.S. in EECS from UC Berkeley in 2017, where he researched grasping in the AUTOLAB with Prof. Ken Goldberg. He is currently a first year Computer Science Ph.D. student at the University of Washington, working with Prof. Siddhartha Srinivasa on motion planning.
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.
Rosario Scalise is a research scientist in the Personal Robotics Lab. His research focuses on natural language interaction in collaborative human-robot systems and enabling transparency in AI decision-making. He also does system integration for the robots and makes messes for HERB to clean up. He previously obtained B.S. degrees in Electrical Engineering and Computer Engineering from the University of Connecticut and an M.S. in Robotics from the Robotics Institute at Carnegie Mellon University.
Hanjun Song is research staff at Personal Robotics Lab. His research focuses on manipulation, haptic/tactile sensing, and machine learning. Also, he is working on system integration for the robots in the lab. Hanjun graduated from KAIST with B.S. in Mechanical Engineering and Electrical Engineering, and M.S. in Aerospace Engineering.
Youngsun Kim is a research scientist at the Personal Robotics Lab working with Siddhartha Srinivasa. His research interests are computer vision and perception for robotics.