Seita, Daniel

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks

Seita, D., Florence, P., Tompson, J., Coumans, E., Sindhwani, V., Goldberg, K., & Zeng, A. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 130

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation

Hoque, R., Seita, D., Balakrishna, A., Ganapathi, A., Tanwani, A., Jamali, N., Yamane, K., Iba, S., & Goldberg, K. (2020) · Robotics: Science and Systems XVI

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 74

Risk Averse Robust Adversarial Reinforcement Learning

Pan, X., Seita, D., Gao, Y., & Canny, J. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsAdversarial Robustness in Machine Learning

Cited by 69

Visuospatial foresight for physical sequential fabric manipulation

Hoque, R., Seita, D., Balakrishna, A., Ganapathi, A., Tanwani, A. K., Jamali, N., Yamane, K., Iba, S., & Goldberg, K. (2022) · Autonomous Robots

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 45

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

Hoque, R., Balakrishna, A., Putterman, C., Luo, M., Brown, D. S., Seita, D., Thananjeyan, B., Novoseller, E., & Goldberg, K. (2021) · 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 31

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Chow, W., Mao, J., Li, B., Seita, D., Guizilini, V., & Wang, Y. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 3