2022

Lew, Thomas,,,, Riccardo Bonalli, Lucas Janson, and Marco Pavone. “Estimating the Convex Hull of the Image of a Set With Smooth Boundary: Error Bounds and Applications”, Arxiv.

Pan, Chaoyi, Marion Lepert, Shenli Yuan, Rika Antonova, and Jeannette Bohg. “Task-Driven In-Hand Manipulation of Unknown Objects Wit Tactile Sensing”. 2023 IEEE International Conference on Robotics and Automation (ICRA), November 1, 2023.

Fang, Kuan, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, and Jeannette Bohg. “Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks”. ICRA, October 23, 2023.

Gao, Ruohan, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, and Jiajun Wu. “The ObjectFolder Benchmark: Multisensory Object-Centric Learning With Neural and Real Objects”. Under Review at CVPR 2023, December 16, 2022.

Geng, Chen, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, and Jiajun Wu. “Tree-Structured Shading Decomposition”. Under Review at CVPR 2023, December 16, 2022.

Belkhale, Suneel, and Dorsa Sadigh. “PLATO: Predicting Latent Affordances Through Object-Centric Play”. Conference on Robot Learning (CoRL) 2022, December 14, 2022.

HaoChen, Jeff Z., Colin Wei, Ananya Kumar, and Tengyu Ma. “Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations”. NeurIPS 2022, November 28, 2022.

Le Cleac’h, Simon, Hong-Xing Yu, Michelle Guo, Taylor Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, and Mac Schwager. “Differentiable Physics Simulation of Dynamics-Augmented Neural Objects”. Robotics and Automation Letters, November 22, 2022.

Cui, Yuchen, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, and Dorsa Sadigh. “‘No, to the Right’ -- Online Language Corrections for Robotic Manipulation via Shared Autonomy”. ACM/IEEE International Conference on Human-Robot Interaction (HRI), November 11, 2022.

Washington, Patrick H., David Fridovich-Keil, and Mac Schwager. “GrAVITree: Graph-Based Approximate Value Function In a Tree”. 2023 American Control Conference, November 5, 2022.

Chahine, Makram, Roya Firoozi, Wei Xiao, Mac Schwager, and Daniela Rus. “Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning”, IEEE Robotics and Automation Letters.

Agia, Chris, Toki Migimatsu, Jiajun Wu, and Jeannette Bohg. “Task-Agnostic Policy Sequencing”. ICRA, October 23, 2022.

Choi, Hojung, Dane Brouwer, Michael A. Lin, Kyle T. Yoshida, Carine Rognon, Benjamin Stephens-Fripp, Allison M. Okamura, and Mark R. Cutkosky. “Deep Learning Classification of Touch Gestures Using Distributed Normal and Shear Force”. International Conference on Intelligent Robots and Systems (IROS), October 20, 2022.

Sadjadpour, Tara, Jie Li, Rares Ambrus, and Jeannette Bohg. “ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking”. IEEE International Conference on Robotics and Automation, October 19, 2022.

Gwak, JunYoung, Silvio Savarese, and Jeannette Bohg. “Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking”. AAAI 2023, August 26, 2022.

Lin, Michael A., Emilio Reyes, Jeannette Bohg, and Mark Cutkosky. “Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators”. IROS 2022, July 31, 2022.

Luo, Zelun, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, and Li Fei-Fei. “MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing”. Submitted to NeurIPS Dataset Track 2022, July 18, 2022.

Li, Hao, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, and Jiajun Wu. “See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation”. Submitted to CoRL 2022, July 18, 2022.

Le Cleac’h, Simon, Hong-Xing Yu, Michelle Guo, Taylor Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, and Mac Schwager. “Differentiable Physics Simulation of Dynamics-Augmented Neural Objects”. Conference of Robot Learning (CoRL), July 17, 2022.

Shorinwa, Ola, Ravi Haksar, Patrick Washington, and Mac Schwager. “Distributed Multi-Robot Task Assignment via Consensus ADMM”, IEEE Transactions on Robotics (T-RO).