🎉 Workshop on Sim-to-Real-to-Field: The Science of Transfer is coming to #CoRL2026 in Austin! Our CFP is now open — with a $1,000 Best Paper Award generously sponsored by @tensrinc .
🔗 sim2real2field-corl26.github.io
🔗 sim2real2field-corl26.github.io
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We especially welcome early-stage work, new problem formulations, negative results, and lessons from real deployments. 📅 Deadline: Oct. 8, 2026 🏆 Best Paper: $1,000 📍 CoRL 2026, Austin, TX
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🎤 Speakers: Claire Tomlin · Amy Zhang · Michael Lutter · Zhongyu Li 👥 Organizers: Jonas Frey · Rosario Scalise · Bike Zhang · Siming He · Aayam Kumar Shrestha · Skand Peri · Yue Hu · Haoran Xu · Arjun Krishna · Dinesh Jayaraman · Shankar Sastry · Susmit Jha
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🎉 Workshop on Sim-to-Real-to-Field: The Science of Transfer is coming to #CoRL2026 in Austin!
Our CFP is now open — with a $1,000 Best Paper Award generously sponsored by @TenSR.
🔗 sim2real2field-corl26.github.io
Our CFP is now open — with a $1,000 Best Paper Award generously sponsored by @TenSR.
🔗 sim2real2field-corl26.github.io
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We especially welcome early-stage work, new problem formulations, negative results, and lessons from real deployments.
📅 Deadline: Oct. 8, 2026
🏆 Best Paper: $1,000
📍 CoRL 2026, Austin, TX
📅 Deadline: Oct. 8, 2026
🏆 Best Paper: $1,000
📍 CoRL 2026, Austin, TX
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🎤 Speakers:
Claire Tomlin · Amy Zhang · Michael Lutter · Zhongyu Li
👥 Organizers:
Jonas Frey · Rosario Scalise · Bike Zhang · Siming He · Aayam Kumar Shrestha · Skand Peri · Yue Hu · Haoran Xu · Arjun Krishna · Dinesh Jayaraman · Shankar Sastry · Susmit Jha
Claire Tomlin · Amy Zhang · Michael Lutter · Zhongyu Li
👥 Organizers:
Jonas Frey · Rosario Scalise · Bike Zhang · Siming He · Aayam Kumar Shrestha · Skand Peri · Yue Hu · Haoran Xu · Arjun Krishna · Dinesh Jayaraman · Shankar Sastry · Susmit Jha
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Siming He retweeted
Could long-context architectures “find all contradictions” in a science literature? Not yet! 🧵
We study a new class of "high-complexity” tasks whose difficulty scales quadratically with corpus size (as opposed to linearly), reversing common LCLM decisions! (block-sparse s…)
We study a new class of "high-complexity” tasks whose difficulty scales quadratically with corpus size (as opposed to linearly), reversing common LCLM decisions! (block-sparse s…)
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Siming He retweeted
One human demonstration. Any multi-fingered hand. Zero-shot sim-to-real visuomotor policy.
morphometricimitation.github.io
Collaborators: @he_siming @ckwolfeofficial @HaozhiQ @LeaMue27 Shankar Sastry, Claire Tomlin, @JitendraMalikCV
morphometricimitation.github.io
Collaborators: @he_siming @ckwolfeofficial @HaozhiQ @LeaMue27 Shankar Sastry, Claire Tomlin, @JitendraMalikCV
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How can a robot find “the bag of cement closest to the entrance” in a construction site hours after seeing it?
🌾 1/6 Introducing FARM: Find Anything using Relational Spatial Memory: a real-time, open-vocabulary memory working from 600 m² homes to 15,000 m² construction sites.
🌾 1/6 Introducing FARM: Find Anything using Relational Spatial Memory: a real-time, open-vocabulary memory working from 600 m² homes to 15,000 m² construction sites.
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🌽 5/6 Explore FARM’s constructed memories interactively:
goldengait.github.io/farm/#explore
Project: goldengait.github.io/farm/
Paper: arxiv.org/abs/2606.15476
Code: github.com/GoldenGait/FAR…
goldengait.github.io/farm/#explore
Project: goldengait.github.io/farm/
Paper: arxiv.org/abs/2606.15476
Code: github.com/GoldenGait/FAR…
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🧑🌾 6/6 It was amazing to work on this project with Leo Huang, Adam Lilja, Fabio Hübel, Jonas Frey, Marco Pavone (@drmapavone), Shankar Sastry, Jitendra Malik (@JitendraMalikCV), and Claire Tomlin.
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