11 Computer Vision News Generating large-scale data to compensate for the relatively small datasets available in robotics (typically millions of times smaller than the ones used to pre-train foundation models in NLP and vision) was also the focus of the presentation done by Markus Wulfmeier, Research Scientist at Google DeepMind. He illustrated how to semi-automatically generate diverse and relevant training data for learning navigation or visuo-motor control policies on two use cases, namely training a real robot in soccer and recommending the best routes in Google Maps. Hao Su, Associate Professor of Computer Science and Director of the Embodied AI lab at the University of California, San Diego (UCSD) presented his work on modeling the 3D physical world for embodied intelligence. His team has spent many years building a fullstack system for robot learning, called SAPIEN, which provides physical simulation for robots, rigid body and articulated objects. He strongly believes that robot simulation is an important ingredient for the community as it allows scalability, replicability and fast prototyping and sim2real should be solved by making simulators closer to the real world. The AI for Robotics international workshop is a biennial event organized by NAVER LABS Europe. The videos of the latest edition and the two previous workshops (2021, 2019) are available online. Again, huge thanks to the Naver Labs Europe team for this awesome report! at NAVER LABS Europe in Grenoble
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