2023

Lew, Thomas, Riccardo Bonalli, and Marco Pavone. “Risk-Averse Trajectory Optimization via Sample Average Approximation”, Arxiv.

You, Yang, Bokui Shen, Congyue Deng, Haoran Geng, He Wang, and Leonidas Guibas. “Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-Shot Deformable Object Manipulation”. Twelfth International Conference on Learning Representations (ICLR 2024), December 4, 2023.

Hu, Hengyuan,,, Suvir Mirchandani, and Dorsa Sadigh. “Imitation Bootstrapped Reinforcement Learning”. ICLR 2024, November 23, 2023.

Sun, Xinglong, Adam W. Harley, and Leonidas J. Guibas. “Refining Pre-Trained Motion Models”. ICRA 2024, November 20, 2023.

Wang, Qianxu, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, and Leonidas Leonidas. “SparseDFF: Sparse-View Feature Distillation for One-Shot Manipulation”. Submitted to ICLR 2024, November 13, 2023.

Pares Morlans, Carlota, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas Guibas, and Jeannette Bohg. “AO-Grasp: Articulated Object Grasp Generation”. International Conference on Robotics and Automation (ICRA) 2024, November 1, 2023.

Yang, Jingyun, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas Guibas, and Jeannette Bohg. “EquivAct: SIM(3)-Equivariant Visuomotor Policies Beyond Rigid Object Manipulation”. 2024 IEEE International Conference on Robotics and Automation, October 21, 2023.

Yang, Jingyun, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, and Chelsea Finn. “Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning”. 2024 IEEE International Conference on Robotics and Automation, October 21, 2023.

Weiss, Ellio, and J. Christian Gerdes. “ 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, October 1, 2023.

Elhafsi, Amine, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas, and Marco Pavone. “Semantic Anomaly Detection With Large Language Models”, Autonomous Robots.

Sun, Jiankai, Shreyas Kousik, David Fridovich-Keil, and Mac Schwager. “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), September 28, 2023.

Shen, Bokui, Zhenyu Jiang, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, and Yuke Zhu. “ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation”, IJRR.

Yu, Hong-Xing, Yang Zheng, Yuanc Gao, Yitong Deng, Bo Zhu, and Jiajun Wu. “Inferring Hybrid Neural Fluid Fields from Videos”. NeurIPS, August 3, 2023.

Li, Jiaman, Jiajun Wu, and C. Karen Liu. “Object Motion Guided Human Motion Synthesis”. SIGGRAPH Asia, August 3, 2023.

Sadjadpour, Tara, Rares Ambrus, and Jeannette Bohg. “ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking”. arXiv, July 19, 2023.

Belkhale, Suneel, Yuchen Cui, and Dorsa Sadigh. “HYDRA: Hybrid Robot Actions for Imitation Learning in Manipulation”. Conference on Robot Learning (CoRL), July 1, 2023.

Talbot, John, Matthew Brown, and J. Christian Gerdes. “Shared Control Up To The Limits of Vehicle Handling”, IEEE Transactions on Intelligent Vehicles.

Weng, Yijia, Kaichun Mo, Ruoxi Shi, Yanchao Yang, and Leonidas Guibas. “Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks”. 40th International Conference on Machine Learning (ICML 2023), June 30, 2023.

Deng, Congyue, Jiahui Lei, Bokui Shen, Kostas Daniilidis, and Leonidas Guibas. “Banana: Banach Fixed-Point Network for Pointcloud Segmentation With Inter-Part Equivariance”. In submission to NeurIPS 2023, June 25, 2023.

Sriram, Anirudh, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, and Ehsan Adeli. “HomE: Homography-Equivariant Video Representation Learning”. NeurIPS 2023, June 2, 2023.