We urgently want to equip more people to develop technical AI safety methods for robotics.
If you’re eager to enter this space - submit an EOI for our fellowship here: https://t.co/GPWM0rAv92
If you’ve got a concrete safety method relevant to robotics - submit it to the first CoRL workshop on the Science of Physical AI Safety here: https://t.co/CVZJBgvQeq
@robocurve is supporting the event with $20,000 of travel grants for early career researchers. Apply for a grant here: https://t.co/QA3zYKpTiy
Excited that the CFP for our Science of Physical AI Safety workshop at CoRL 2026 is now open.
Marco Pavone, Andrea Bajcsy, Vikas Sindhwani and Thomas Fel are speaking, and @Robocurve is funding $20k in travel grants so early-career researchers can actually get there.
Papers due Oct 1: https://t.co/XSO2fESgGY
@StanfordASL@NVIDIA@CarnegieMellon@GoogleDeepMind@GoodfireAI@Harvard // @corl_conf
The Physical AI Safety Institute is convening the first Science of Physical AI Safety workshop at CoRL 2026 — @corl_conf — Nov 12, Austin TX.
Speakers: Marco Pavone (Stanford/NVIDIA), Andrea Bajcsy (CMU), Vikas Sindhwani (Google DeepMind), Thomas Fel (Goodfire/Harvard).
$20k in travel grants — supported by @robocurve.
Papers due Oct 1.
https://t.co/dVPXqPN8s4
Robot foundation models are nearing deployment on $18B+ of funding. Almost nobody is working on their safety.
The Physical AI Safety Institute is launching a 12-week fellowship to change that. Stipend, physical robots, compute, mentorship.
The Case for Physical AI Safety: https://t.co/mfGCeVHwVS
Fellowship EOI: https://t.co/KTDip48GdW