Recent interesting robotics papershttps://broadcastchannel-6vg.pages.devhttps://broadcastchannel-6vg.pages.dev/posts/31https://broadcastchannel-6vg.pages.dev/posts/31Mon, 12 May 2025 22:53:25 GMTGraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data<br /><br />- combination of sim and real could help train robust grasping policy<br />- engineering example of pi-0 policy (VLM + <mark>flow</mark> <mark>matching</mark>)<br /><br /><a href="/search/%23arxiv">#arxiv</a> <a href="/search/%23grasp">#grasp</a> <a href="/search/%23simulation">#simulation</a> <a href="/search/%23sim2real">#sim2real</a> <a href="/search/%23flow_matching">#flow_matching</a><br /><br /><a href="https://fixupx.com/TuoLiuRobot/status/1878060780400324938" target="_blank">X Overview</a>, <a href="https://pku-epic.github.io/GraspVLA-web/" target="_blank">Project Website</a>, <a href="https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GraspGen" target="_blank">NVidia GraspGen</a><a href="https://fixupx.com/TuoLiuRobot/status/1878060780400324938" target="_blank"> <div><i><b>🧵</b></i> Thread • FixupX</div> <img class="link_preview_image" alt="Tuo Liu (@TuoLiuRobot)" src="/static/https://cdn4.telesco.pe/file/snQZznpLEXDCivTCTlPQF8A1Bt_CNMLbNMUJ9HD9a71SuF7jRHKQM4bfLdgszyjSDCGlGdwbXAI9gvlCuVqwhybhtYsgQALNyiwCb5rTUDA53Gds1sKDewK2m9Wb0w5WBbLbA4wpyhPbjKZWfQJBOfysDojnMDj4tXmmKlfNHjFOw2CKyPG2UUzcQhTgZQRZZHKts_pzSaQe_AHsqADilY2eE5hIZhdYtq13wotBUiQH-bisrC1cuTab8JKBsjQ5Lra2TkV1qjPE0wWAjXUgqYMqyVG1tt5R09bUxfh7qOj5EHYYrEhonm1pqqTW0aZBagfq_uJPBAeU50EPcc0_bA.jpg" loading="lazy" /> <div>Tuo Liu (@TuoLiuRobot)</div> <div>Galbot（银河通用）has just dropped GraspVLA, the world’s first end-to-end embodied grasping model! Trained on over a billion “visual-language-action” pairs, GraspVLA is ready to handle a wide range of tasks, even the unexpected ones. <br /><br />And with a little post-training…</div> </a>