eddie-soehnel-portable-iden.../data/insights-hub/hrecords/5757.json
2026-06-16 13:20:04 -06:00

12 lines
903 B
JSON

{
"HubID": "5757",
"Date": "02/27/2026",
"HubTags": ["External Platform Posts", "Future Map"],
"Contacts": ["contact1", "contact2"],
"Companies": "",
"File": "",
"Image": "egoscale.jpg",
"Summary": "Boom! A major robotics paper just showed something big: if you record enough human hand movements (from simple daily tasks), extract the motion automatically, and train on it at scale, robot dexterity improves in a predictable way. In plain terms — more structured human motion data = smarter robot hands. This is monumental for complex, high-precision work like sewing, apparel production, repairs, and other tasks that require fine finger control. Instead of programming every movement, we may be able to scale dexterity the way we scaled language models — by learning from massive amounts of human behavior. via https://x.com/DrJimFan/status/2026709304984875202",
"Notes": ""
}