Calling papers for the IEEE ICRA workshop on Fresh Perspectives on the Future of Autonomous Driving in May! Submit by 22 March: self-driving-cars.org/workshop with Corina Gurau Anthony Hu Sergey Zagoruyko Felipe Codevilla Nick Rhinehart Emma Saunders Blake Wulfe Błażej Osiński #ICRA2022

*Deadline Extension* Call for a second round of submissions to the #ICRA2022 workshop on Fresh Perspectives on the Future of Autonomous Driving. Submit by April 25 AoE: icra2022av.org Rowan McAllister Anthony Hu Blake Wulfe Emma Saunders Felipe Codevilla Nick Rhinehart Sergey Zagoruyko

How should models be trained? We show weighting model errors by their effect on downstream control improves accuracy where it matters most (gif) + improves end performance arxiv.org/abs/2204.13319 youtu.be/OSzh6Jkp5io w Blake Wulfe Jean Mercat Logan Ellis Sergey Levine Adrien Gaidon

ICRA 2022 AV workshop videos now online: 🚗 keynotes: icra2022av.org/#h.198firfh7fex 🚗 authors: icra2022av.org/#h.r8uf7ehwpntw 🚗 all: youtu.be/qzo61V7G1EM?t=… Thanks to lead organizer Corina Gurau, virtual org Blake Wulfe Anthony Hu Emma Saunders Błażej Osiński, PC members + authors + attendees!

After two years, it is my pleasure to introduce “DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset” DROID is the most diverse robotic interaction dataset ever released, including 385 hours of data collected across 564 diverse scenes in real-world households and offices

Access to *diverse* training data is a major bottleneck in robot learning. We're releasing DROID, a large-scale in-the-wild manipulation dataset. 76k trajectories, 500+ scenes, multi-view stereo, language annotations etc Check it out & download today! 💻: droid-dataset.github.io

Learned visuomotor robot policies are sensitive to observation viewpoint shifts, which happen all the time. Can visual priors from large-scale data help? Introducing VISTA: using zero-shot novel view synthesis models for view-robust policy learning! #CoRL2024 🧵👇

Image/video models can transfer knowledge from Internet data to robot agents by generating goal images. But what happens when images have harmful visual artifacts? We present GHIL-Glue, a method to align image/video models and low-level policies. ghil-glue.github.io

Announcing OpenThinker3-7B, the new SOTA open-data 7B reasoning model: improving over DeepSeek-R1-Distill-Qwen-7B by 33% on average over code, science, and math evals. We also release our dataset, OpenThoughts3-1.2M, which is the best open reasoning dataset across all data

Meet ProVox: a proactive robot teammate that gets you 🤖❤️‍🔥 ProVox models your goals and expectations before a task starts — enabling personalized, proactive help for smoother, more natural collaboration. All powered by LLM commonsense. Recently accepted at IEEE RAS R-AL! 🧵1/7