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@danfei_xu The 40% definition is the part I’d challenge. A robot that can attempt anything but fails 60% of the time isn’t at a GPT moment. It’s a liability with broad coverage. The real threshold is broad capability plus calibrated refusal: knowing when not to move.
@danfei_xu you should be specific about the embodiments. otherwise the graph makes no sense. i.e what is the difference between DexUMI and ego video?
@danfei_xu Really impressive pulse check on the robotics industry.
@danfei_xu Great post! There's still a lot of interesting work to be done.
@GuanyaShi yep yep. Incredibly exciting direction.
Monday thoughts: Since deep learning, there are two “root-level” paradigm shifts in robot learning: Sim2Real for locomotion and Behavior Cloning (BC) for manipulation. 1/
Agreed! One more thing: There is another graft connecting these two trees: BC from human data with simulation-based physics grounding (e.g., retargeting and motion tracking)
Based on 13 visible X reactions from 19 accounts; directional sample.
Ask a question below.
Published answers will appear here.
Agreed! One more thing: There is another graft between these two trees: BC from human data with simulation-based physics grounding (e.g., retargeting and motion tracking)