RoboPapers

@RoboPapers

@chris_j_paxton @micoolcho @DJiafei @ruijie_sg geeking out weekly with authors of robotics AI papers. On YouTube / X / Spotify / Substack

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RoboPapers
@RoboPapers
Sep 2
We've hit 100 episodes! Here's a look back on our journey so far (website with some stats): robopapers100.com Some highlights in the thread 🧵:
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RoboPapers
@RoboPapers
4h
Full episode dropping soon! Geeking out with @jeasinema and @siyuanhuang95 on Delta-0 (Δ₀): A New Chapter in Humanoid Intelligence. deltai.com/en/blog/delta-0 Co-hosted by @micoolcho and @chris_j_paxton
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RoboPapers
@RoboPapers
Nov 2
Full episode dropping soon! Geeking out with @jeasinema and @siyuanhuang95 on Delta-0 (Δ₀): A New Chapter in Humanoid Intelligence. deltai.com/en/blog/delta-0 Co-hosted by @micoolcho and @chris_j_paxton
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RoboPapers
@RoboPapers
Oct 30
Robotics has a data problem, but not the one you’re thinking of: almost all robotics data is of successful instances of robot behaviors. But many of the most exciting research areas for robotics today, including world models and reward model learning, require failures:
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RoboPapers
@RoboPapers
Oct 23
Using simulation to teach robots would unblock the massive scale of robotics data that seems to be missing right now. The issue is usually sim-to-real transfer; MolmoBOT aims to solve this with sufficient diversity of simulation data, so that no real data is necessary for robot
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