Chenhao Li (@breadli428) 's Twitter Profile
Chenhao Li

@breadli428

Doctoral fellow @ETH_AI_Center | Robot learning at RSL & LAS | Prev. @MIT, @ETH_en, @MPI_IS, @EPFL_en, @mcgillu.

ID: 2950424640

linkhttps://breadli428.github.io/ calendar_today29-12-2014 15:20:28

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Two weeks to go before the deadline! This workshop invites submission from everyone who has cool sim-to-real transfer on their robot! Hope to see you in Korea!

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Turns out perception and manipulation are still the main driven forces for people’s excitement. In the meantime, dancing is not anymore attractive folks.

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🚀 Excited to be talking about popular motion learning methods (feature-based vs. GAN-based) and sharing my own journey in this field in robotics & AI with MyoSuite. 📅 Sept. 17 at 1:30 PM EST / 7:30 PM CET If motion learning sparks your curiosity, you won’t want to miss this!

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🤖What if you want to train rough terrain humanoid locomotion but have only flat terrain demonstrations? ⛳️In ConsMimic, we introduce a principled pipeline to learn stylistic motions from demonstrations that may not align with task objectives. See you Conference on Robot Learning in Seoul!

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🐶Motion imitation should never limit itself to simply replaying the motions in the dataset on flat terrains. In our #CoRL2025 work Motion Priors Reimagined, we extend motion tracking to complex locomotion and navigation tasks, to make skills "useful". 🔗anymalprior.github.io

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Arriving in Seoul for Conference on Robot Learning and IEEE-RAS Int. Conf. on Humanoid Robots (HUMANOIDS)! 📄 Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility 🔗 anymalprior.github.io 📄 Constraint Style Learning from Imperfect Demonstrations under Task Optimality 🔗 sites.google.com/view/consmimic

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Finally got to see the real Unitree R1 demo. Impressive hardware performance consistency — side flip 10 times in a row without much degradation.

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Presenting two works on perceptive motion imitation today! 📅Poster 2 | 4:30 - 6:00 pm 📢Spotlight 3 Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility 📢Spotlight 4 Constraint Style Learning from Imperfect Demonstrations under Task Optimality

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Live demos are a privilege. Failing in front of the right community is a win—because they value the attempt most. 🤖

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🔥 Our Sim2Real Workshop IEEE-RAS Int. Conf. on Humanoid Robots (HUMANOIDS) concluded a great success with around 200 attendees! 🔈 We had great talks from a staring line of speakers from academia and industry. Thanks to everyone who supported us! Pulkit Agrawal Beomjoon Sven Behnke Jonah Siekmann

🔥 Our Sim2Real Workshop <a href="/HumanoidsConf/">IEEE-RAS Int. Conf. on Humanoid Robots (HUMANOIDS)</a> concluded a great success with around 200 attendees!

🔈 We had great talks from a staring line of speakers from academia and industry. Thanks to everyone who supported us!

<a href="/pulkitology/">Pulkit Agrawal</a> <a href="/leidenschaft1/">Beomjoon</a> <a href="/SvenBehnke/">Sven Behnke</a> <a href="/JonahSiekmann/">Jonah Siekmann</a>