I am a third year Ph.D. student in the Robust Robotics Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Nicholas Roy. I am very grateful for the support from the NSF Graduate Research Fellowship.
My research interests include theory and algorithms that engage with the interaction of computational systems and the physical world. I focus on robot decision-making in partially-observable and noisy environments. In the past, I was interested in applying ideas from differential geometry and dynamical systems to allow robots to learn safely.
I completed a joint concentration in mathematics and computer science from Brown University and was advised by Prof. George Konidaris and Prof. Stefanie Tellex. I was also a research intern at MERL. I am an observant Jew, which may affect my availability online (is it a Jewish holiday today?).
Publications
* denotes equal contribution
Pre-prints
Towards Practical Finite Sample Bounds for Motion Planning in TAMP. Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy. (in press) Algorithmic Foundations of Robotics, 2024. arxiv
Conference Publications
Amortized Inference for Efficient Grasp Model Adaptation. Michael Noseworthy*, Seiji Shaw*, Chad C. Kessens, Nicholas Roy. IEEE International Conference on Robotics and Automation (ICRA), 2024. link.
Constrained Bimanual Planning with Analytic Inverse Kinematics. Thomas Cohn, Seiji Shaw, Max Simchowitz, Russ Tedrake. IEEE International Conference on Robotics and Automation (ICRA), 2024. Best Paper in Robot Manipulation Finalist. arxiv.
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. Seiji Shaw, Devesh K. Jha, Arvind Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. arxiv.
RMPs for Safe Impedance Control in Contact-Rich Manipulation. Seiji Shaw, Ben Abbatematteo, George Konidaris. IEEE International Conference on Robotics and Automation (ICRA), 2022. arxiv.
Miscellaneous
A seabird population model to evaluate plastic pollution policies. Tiffany Ding*, Soryan Kumar *, Seiji Shaw*. Undergraduate Mathematics and Its Applications, 2020. link.