Our team is passionate about creating the best full-stack robot for education and research.
Siddhartha Srinivasa is the Boeing Endowed Professor at The Paul G. Allen School of Computer Science & Engineering at the University of Washington, and an IEEE Fellow. He is a full-stack roboticist, with the goal of enabling robots to perform complex manipulation tasks under uncertainty and clutter, with and around people. To this end, he founded the Personal Robotics Lab in 2005. He was a PI on the Quality of Life Technologies NSF ERC, DARPA ARM-S and the DARPA Robotics Challenge, has built several robots (HERB, ADA, CHIMP), and has written software frameworks (OpenRAVE, DART) and best-paper award winning algorithms (CBiRRT, CHOMP, BIT*, Legibility) used extensively by roboticists around the world.
Sidd started the MuSHR program in 2017 at UW with the goal of democratizing robotics by providing an open-source low-cost full-stack robotics platform for education and research. He created the first undergraduate Robotics class at UW in 2017 that used the race car platform, and the overwhelmingly positive response to the class inspired the team to make MuSHR a reality.
Sanjiban Choudhury is a postdoctoral research associate Fellow at the Allen School of Computer Science and Engineering at the University of Washington, where he works with Professor Siddhartha Srinivasa. He is interested in problems at the intersection of learning and planning.
Sanjiban completed his Ph.D. in Robotics with Sebastian Scherer at Carnegie Mellon University. His thesis work is on the design of planning algorithms that can adapt to the environment, the perception capabilities and the dynamics constraints of a robot. He is the recepient of multiple best paper awards, finalist of the prestigious Collier Tropy and recipient of the Siebel Scholarship.
Sanjiban led the first army of MuSHRs in 2018. He also taught the second edition of undergraduate course, rebranded as “Mobile Robots”, which featured brand new lectures, flashier cars and more teams crossing the finishing line.
Christoforos (Chris) Mavrogiannis is a postdoctoral research associate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, working with Prof. Siddhartha Srinivasa and the Personal Robotics Lab. Chris received his Ph.D. from Cornell University, where he worked on the design of motion planning algorithms for social robot navigation in crowded human environments. His current research interests include consensus problems for multi-robot navigation, and human-robot collaboration applications. Chris is passionate about enabling robots to integrate seamlessly in human environments.
Chris is leading MuSHR’s efforts on the development of multi-agent coordination algorithms. He is particularly interested in the design of planning algorithms that will enable cars to safely navigate next to each other and perform complex manipulation tasks. Chris will be using MuSHR as an instructor of the Mobile Robots course in the winter of 2020.
Fereshteh Sadeghi is a postdoctoral researcher at the University of Washington working with Prof. Siddhartha Srinivasa. She completed her PhD at University of Washington where she worked on domain invariant vision-based policy learning for robotics. Her research is focused on developing learning algorithms that combine perception and control for learning robot skills.
Fereshteh is interested in how learning can be used to enable machines acquire behavioral skills that can generalize to unstructured real world settings. During her PhD, she developed techniques for learning highly generalizable vision-based robot controllers in simulation for efficient transfer and adaptability to the real world. Fereshteh is a former NVIDIA Graduate Research Fellow.
Matt “Schmittle” Schmittle is a second year P.h.D. student at the University of Washington Allen School of Computer Science. He is advised by Prof. Siddhartha Srinivasa and Prof. Dieter Fox. His general research interests are in multi-agent collaborative learning, perception, and navigation.
Schmittle works on the core software components that run on each car and general management for the project. He was a TA for the undergraduate course “Mobile Robotics” in Spring 2019, helping design assignments, teach classes, and grading.
Johan Michalove is a BS/MS student at the Allen School of the University of Washington advised by Prof. Siddhartha Srinivasa. His research focuses on uncertainty in model-predictive control and the ethics of intelligent machines.
Johan leads the design of MuSHR’s tutorials and outreach efforts, contributes to course material for the MuSHR platform, and has designed and implemented core MuSHR packages and infrastructure. He helped support the use of the MuSHR cars in the Winter 2019 Graduate Robotics course and Spring 2019 Undergraduate Mobile Robotics course. Johan began building robotic RC cars in 2016 in an attempt to learn robotics.
Patrick Lancaster is a PhD candidate at the Allen School of Computer Science and Engineering at the University of Washington advised by Prof. Joshua Smith and Prof. Siddhartha Srinivasa. His research focuses on sensing for robot manipulation.
Patrick designs and builds hardware prototypes for the MuSHR platform, and develops the software drivers necessary for both simulation and real-world execution of the robot. In Autumn 2018, he was the primary instructor for a Masters level course focused on autonomous navigation using the MuSHR platform.
Matthew is a BS/MS student at the Allen School of Computer Science and Engineering at the University of Washington advised by Prof. Siddhartha Srinivasa. He’s interested in mobile robotics and multi-agent robotic systems.
Matthew works to maintain the growing MuSHR fleet at UW. He was a TA for the undergraduate course “Mobile Robotics” in Spring 2019, helping design assignments and iterate on the development of software for the cars. In the past he has done research with the Systems lab at UW.
Colin Summers is a BS/MS student in the Paul G. Allen School of Computer Science & Engineering and is advised by Prof. Siddhartha Srinivasa. He is primarily interested in algorithms that enable intelligent machines to acquire general notions of intelligence in order to robustly solve complex and temporally-extended tasks in real-world settings.
Colin works to design and implement perception algorithms that enable realtime autonomous operation of MuSHR. He also helps wrangle the growing MuSHR software ecosystem.