🎉 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 .
🔗 https://t.co/W8O36OQiez
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
🎉 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.
🔗 https://t.co/ERunSUrmtv
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
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 attention, hybrid models…)
🧑🌾 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.
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.