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Trajectory Optimization with Optimization-Based Dynamics


Sep 10, 2021
Taylor A. Howell, Simon Le Cleac'h, Sumeet Singh, Pete Florence, Zachary Manchester, Vikas Sindhwani


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Implicit Behavioral Cloning


Sep 01, 2021
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson


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XIRL: Cross-embodiment Inverse Reinforcement Learning


Jun 07, 2021
Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi


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


Dec 18, 2020
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng

* See https://berkeleyautomation.github.io/bags/ for project website and code. v2 corrects some BibTeX entries 

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iNeRF: Inverting Neural Radiance Fields for Pose Estimation


Dec 10, 2020
Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

* Website: http://yenchenlin.me/inerf/ 

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Transporter Networks: Rearranging the Visual World for Robotic Manipulation


Oct 27, 2020
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee

* Project webpage: https://transporternets.github.io 

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Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning


Sep 10, 2020
Lucas Manuelli, Yunzhu Li, Pete Florence, Russ Tedrake


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