Publications

Tzikas, A. E., Park, J., Kochenderfer, M. J., & Allen, R. E. (2024). Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics and Automation Letters.

Contreras, . . P., Shorinwa, O., & Schwager, M. (2024). Out-of-Distribution Runtime Adaptation with Conformalized Neural Network Ensembles. Robotics: Science and Systems.

Chen, T., Shorinwa, O., Zeng, W., Bruno, J., Dames, P., & Schwager, M. (2024). Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps. Robotics: Science and Systems.

He, H., Harley, A. W., Stearns, C., & Guibas, L. (2024). View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields. CVPR 2024.

Lew, T., Bonalli, R., Janson, L., & Pavone, M. (2023). Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications. Arxiv.

Lew, T., Bonalli, R., & Pavone, M. (2023). Risk-Averse Trajectory Optimization via Sample Average Approximation. Arxiv.

You, Y., Shen, B., Deng, C., Geng, H., Wang, H., & Guibas, . L. (2023). Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation. Twelfth International Conference on Learning Representations (ICLR 2024).

Hu, H., Mirchandani, S., & Sadigh, D. (2023). Imitation Bootstrapped Reinforcement Learning. ICLR 2024.

Sun, X., W. Harley, A., & J. Guibas, L. (2023). Refining Pre-Trained Motion Models. ICRA 2024.

Wang, Q., Zhang, H., Deng, C., You, Y., Dong, H., Zhu, Y., & Leonidas, L. (2023). SparseDFF: Sparse-View Feature Distillation for One-Shot Manipulation. Submitted to ICLR 2024.

Pares Morlans, C., Chen, C., Weng, Y., Yi, M., Huang, Y., Heppert, N., Zhou, L., Guibas, L., & Bohg, J. (2023). AO-Grasp: Articulated Object Grasp Generation. International Conference on Robotics and Automation (ICRA) 2024.

Pan, C., Lepert, M., Yuan, S., Antonova, R., & Bohg, J. (2023). Task-driven In-hand Manipulation of Unknown Objects wit Tactile Sensing. 2023 IEEE International Conference on Robotics and Automation (ICRA).

Fang, K., Migimatsu, T., Mandlekar, A., Fei-Fei, L. ., & Bohg, J. (2023). Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. ICRA.

Yang, J., Deng, C., Wu, J., Antonova, R., Guibas, L., & Bohg, J. (2023). EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. 2024 IEEE International Conference on Robotics and Automation.

Yang, J., Sobol Mark, M., Vu, B., Sharma, A., Bohg, J., & Finn, C. (2023). Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. 2024 IEEE International Conference on Robotics and Automation.

Weiss, E., & Gerdes, J. C. (2023). Follow My Lead: Designing an ADAS that Shares Decision Making and Control with the Driver. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023.

Elhafsi, A., Sinha, R., Agia, C., Schmerling, E., Nesnas, I., & Pavone, M. (2023). Semantic Anomaly Detection with Large Language Models. Autonomous Robots.

Sun, J., Kousik, S., Fridovich-Keil, D., & Schwager, M. (2023). Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (ITSC 2023).

Shen, B., Jiang, Z., Choy, C., J. Guibas, L., Savarese, S., Anandkumar, A., & Zhu, Y. (2023). ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. IJRR.

Yu, H.-X., Zheng, Y., Gao, Y., Deng, Y., Zhu, B., & Wu, J. (2023). Inferring Hybrid Neural Fluid Fields from Videos. NeurIPS.