Seiji Shaw

According to our database, Seiji Shaw authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Learning POMDPs Beyond Full-Rank Actions and State Observability.

Seiji Shaw, Travis Manderson, Chad C. Kessens, Nicholas Roy

CoRR, January, 2026

2025

Learning Attentive Neural Processes for Planning with Pushing Actions.

Atharv Jain, Seiji Shaw, Nicholas Roy

CoRR, April, 2025

2024

Towards Practical Finite Sample Bounds for Motion Planning in TAMP.

Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy

CoRR, 2024

Amortized Inference for Efficient Grasp Model Adaptation.

Michael Noseworthy, Seiji Shaw, Chad C. Kessens, Nicholas Roy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Constrained Bimanual Planning with Analytic Inverse Kinematics.

Thomas Cohn, Seiji Shaw, Max Simchowitz, Russ Tedrake

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.

Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski

IROS, 2023

2022

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills.

Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski

CoRR, 2022

RMPs for Safe Impedance Control in Contact-Rich Manipulation.

Seiji Shaw, Ben Abbatematteo, George Konidaris

Proceedings of the 2022 International Conference on Robotics and Automation, 2022