AI developed at @UMA_Robots Single neural network, End to End It operates robustly for hours, with precision, adapting to what it sees.

Researchers at UMA Robots have developed a single neural network that enables end-to-end robotic control, operating continuously for extended periods with high precision while adapting in real-time to visual inputs. The system demonstrates robust performance without requiring multiple specialized networks or traditional pipeline approaches. This work was highlighted by Yann LeCun, suggesting significant progress in unified neural network architectures for autonomous robotic systems.

Source: Yann LeCun (X) | 2026-07-07