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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances


Apr 04, 2022
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

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* See website at https://say-can.github.io/ 

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Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning


Apr 27, 2020
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu

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ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots


Sep 25, 2019
Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar

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* Conference on Robot Learning, 2019 
* Accepted for CoRL2019. For details visit - www.roboticsbenchmarks.org 

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Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real


Aug 13, 2019
Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar

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