GenRobot AI Spotlights Touch, Data at CoRL
At CoRL 2026’s Nov. 10 Research Night, GenRobot AI presented its Data Foundation Model alongside DAS DEX 2.0 and EGO 2.0, targeting the data bottleneck in embodied AI with human-motion, tactile, and first-person capture.
Physical AI’s hardest problem may be contact, not cognition: robots need aligned visual, motion, tactile, and force data before better policies can reliably control the real world.
- –DEX 2.0 focuses on fine-grained hand motion and tactile interaction for dexterous manipulation.
- –EGO 2.0 captures first-person multimodal data with wide vision, synchronized cameras, and precise hand tracking. [Product details](https://www.genrobotai.com/products/ego2)
- –The event’s surrounding talks connected tactile world models, coding agents, VLA systems, and online exploration—signaling a shift toward closed-loop robot learning.
- –For developers, standardized embodied datasets may prove more valuable than another isolated model checkpoint.
- –The unresolved test is transfer: whether human-captured signals improve force control and recovery on unfamiliar robots.
DISCOVERED
21m ago
2026-11-11
PUBLISHED
43m ago
2026-11-11
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junfanzhu98