Personal Robotics Lab
Paul G. Allen School of Computer Science & Engineering, University of Washington
We develop the fundamental building blocks of perception, manipulation, learning, and human-robot interaction to enable robots to perform complex physical manipulation tasks under clutter and uncertainty with and around people.
Recent Publications
Jose Jaime, Liander Rainbolt, Ikshita Sathanur, Taylor Kessler Faulkner, Siddhartha Srinivasa
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2026
Yi Ru Wang, Carter Ung, Christopher Tan, Grant Tannert, Jiafei Duan, Josephine Li, Josephine Le, Rishabh Oswal, Markus Grotz, Wilbert Pumacay, Yuquan Deng, Ranjay Krishna, Dieter Fox, Siddhartha Srinivasa
IEEE International Conference on Robotics and Automation, 2026
International Conference on Learning Representations, 2026
Ethan Pronovost, Khimya Khetarpal, Siddhartha Srinivasa
arXiv, 2026
S. Talia, O. Salzman, S. S. Srinivasa
IEEE Robotics and Automation Letters, 2025
Vincent Roulet, S.S. Srinivasa, Maryam Fazel, Zaid Harchaoui
Journal of Machine Learning Research, 2025
Matthew Schmittle*, Rohan Baijal*, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Siddhartha Srinivasa, Byron Boots — * equal contribution
Conference on Robot Learning, 2025
RSS-ROAR Workshop Best Paper Award Winner
David Hayden, Mao Ye, Timur Garipov, Gregory Meyer, Carl Vondrick, Zhao Chen Chen, Yuning Chai, Eric Wolff, Siddhartha Srinivasa
International Conference on Machine Learning, 2025
Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha Srinivasa
International Conference on Machine Learning, 2025
H. Lin, X. Huang, T. Phan-Minh, D.S. Hayden, H. Zhang, D. Zhao, S.S. Srinivasa, E.M. Wolff, H. Chen
IEEE Conference on Computer Vision and Pattern Recognition, 2025