Discover and read the best of Twitter Threads about #CoRL2021
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V. proud that our @StanfordSVL has 9 papers accepted by #CoRL2021! “Seeing is for doing.” Computer vision & robotic learning are deeply intertwined areas of research as we work to understand and build active & learning AI agents to interact in &w/ the real world. Enjoy below:) 1/ 
iGibson2.0 is a robotic learning environment that enables next generation simulation and benchmarking of robotic learning, and human-robot interaction tasks. 2/
iGibson2.0 enabled the development of BEHAVIOR, a benchmark dataset & environment for complex robotic learning tasks. Today's algorithms performs near ZERO when doing these 100 real-world inspired tasks (Tab2). Very excited to see more progress to come! 3/
