Matthew Foutter

PhD Candidate @StanfordASL | Robotics + ML

[Matthew Foutter @MatthewFoutter]

Real2Sim2Real presents a promising opportunity for zero-shot robot deployment 🤖, but how does this paradigm translate to tricky, contact-rich applications such as the game of billiards 🎱?

We argue that an agent can learn the underlying dynamics parameters through interaction!

[Liam @ CoRL @Liam862373]

Can an agent learn a pool table’s physics by playing on it? 🎱

While agents can close the visual gap, the difference between real world and sim dynamics remains significant. For CoRL late breaking🤠, we let an agent take real shots to try and close this real2sim dynamics gap: https://t.co/g12jkuuB4n

Very fun short project with @XilunZhangXZ @MatthewFoutter @Luis_A_Pabon @drmapavone

[Jacky Kwok @jackyk02]

✨ Test-Time Scaling for Robotics ✨

Excited to release 🤖 RoboMonkey, which characterizes test-time scaling laws for Vision-Language-Action (VLA) models and introduces a framework that significantly improves the generalization and robustness of VLAs!

🧵(1 / N)

🌐 Website: https://t.co/pYvytO8OmZ
💻 Code: https://t.co/bDhjWoNBim
🗂️ Datasets and Models: https://t.co/u97uiAFk9V
🚀 Serving Engine: https://t.co/JIuhS9xgUw
📄 Paper: https://t.co/q59LkD2iSV