Guocai Yao

Imagined failures in a world model can pinpoint exactly which robot skill components need new demonstrations, boosting success from 13% to 75% with minimal data.

DeCAL achieves a remarkable 71% success rate in dexterous manipulation tasks by seamlessly integrating tactile sensing with advanced vision-language-action modeling.

Hierarchical tactile modeling boosts robot manipulation success rates by over 40% in contact-rich tasks, revealing the power of structured tactile forecasting.