2021

Pan, Chuanyu, Yanchao Yang, Kaichun Mo, Yueqi Duan, and Leonidas Guibas. “Object Pursuit: Building a Space of Objects via Discriminative Weight Generation”. International Conference on Learning Representations, December 15, 2021.

Ruotolo, Wilson, Dane Brouwer, and Mark Cutkosky. “From Grasping to Manipulation With Gecko-Inspired Adhesives”, Science Robotics. https://www.science.org/doi/10.1126/scirobotics.abi9773#.YdTALXyv-tk.mailto.

Clarke, Samuel, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug James, and Jeannette Bohg. “Differentiable Rendering and Identification of Impact Sounds”. Conference on Robot Learning (CoRL), November 2021. https://sites.google.com/view/diffimpact.

Wong, Josiah, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Fei-Fei Li, Silvio Saverese, and Roberto Martin-Martin. “Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation”. Conference on Robot Learning (CoRL) 2021, November 2021. https://sites.google.com/view/il-for-mm/home.

Mandlekar, Ajay, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Fei-Fei Li, Silvio Savarese, Yuke Zhu, and Roberto Martin-Martin. “What Matters in Learning from Offline Human Demonstrations for Robot Manipulation”. CoRL 2021, November 2021. https://arxiv.org/pdf/2108.03298.pdf.

Bhattacharyya, Raunak, Soyoen Jung, Ransalu Senanayake, and Mykel Kochenderfer. “A Hybrid Rule-Based and Data-Driven Approach to Human Behavior Modeling through Particle Filtering ”. IEEE 2021, October 2021. https://ieeexplore.ieee.org/document/9580542.

Luo, Zelun, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, and Fei-Fei Li. “MOMA: Multi-Object Multi-Actor Activity Parsing”. NeurIPS2021, October 2021. https://proceedings.neurips.cc/paper/2021/hash/95688ba636a4720a85b3634acfec8cdd-Abstract.html.

Yi, Brent, Michelle Lee, Alina Kloss, Roberto Martin-Martin, and Jeannette Bohg. “Differentiable Factor Graph Optimization for Learning Smoothers”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021. https://sites.google.com/view/diffsmoothing.

Mohanty, Adyasha, Rémy Zawislak, Sriramaya Bhamidipati, and Grace Gao. “Precise Relative Positioning for Tandem Drifting Cars”, ION GNSS+ 2021. https://www.ion.org/publications/abstract.cfm?articleID=17871.

Karamcheti, Siddharth, Megha Srivastava, Percy Liang, and Dorsa Sadigh. “LILA: Language-Informed Latent Actions”. Conference on Robot Learning (CoRL), August 2021. https://iliad.stanford.edu/pdfs/publications/karamcheti2021lila.pdf.

Srivastava, Sanjana, Chengshu Li, Michael Lingelbach, Roberto Martin-Martin, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, and Fei-Fei Li. “BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments ”. Conference on Robot Learning (CoRL), July 2021. https://ckllab.stanford.edu/behavior-benchmark-everyday-household-activities-virtual-interactive-and-ecological-environments.

Nair, Suraj, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, and Chelsea Finn. “Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation”. Conference on Robot Learning, July 2021. https://arxiv.org/pdf/2109.01115.pdf.

Nagami, Keiko, and Mac Schwager. “HJB-RL: Initializing Reinforcement Learning With Optimal Control Policies Applied to Autonomous Drone Racing”. Robotics: Science and Systems (RSS 2021), May 2021.

Rempe, Davis, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas Guibas. “HuMoR: 3D Human Motion Model for Robust Pose Estimation”. nternational Conference on Computer Vision (ICCV), May 2021. https://geometry.stanford.edu/projects/humor/docs/humor.pdf.

Currano, Rebecca, So Yeon, Dylan Moore, Kent Lyons, and David Sirkin. “Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles”. 2021 ACM CHI Conference on Human Factors in Computing Systems, May 2021.

Senanayak, Ransalu, Kyle Beltran Hatch, Jason Ziming Zheng, and Mykel Kochenderfer. “3D Velocity Maps for Uncertain Dynamic Urban Environments”. International Conference on Intelligent Robots and Systems 2021, April 2021.

Ivanovic, Boris, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, and Marco Pavone. “Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty”. International Conference on Computer Vision (ICCV), April 2021.

Fang, Kuan, Yuke Zhu, Silvio Savarese, and Fei-Fei Li. “Learning Generalizable Skills via Automated Generation of Diverse Tasks”. Robotics: Science and System 2021, April 2021.

Ivanovic, Boris, Karen Leung, Edward Schmerling, and Marco Pavone. “Multimodal Deep Generative Models for Trajectory Prediction: A Conditional VariationalAutoencoder Approach”, IEEE Robotics and Automation Letters. https://arxiv.org/abs/2008.03880.

Le Cleac’h, Simon, Mac Schwager, and Zachary Manchester. “ALGAMES: A Fast Solver for Constrained Dynamic Games”, Autonomous Robots (Springer).