Skild AI brain lets robots watch videos to master everyday tasks

Skild AI has developed Skild Brain, an innovative AI model that enables robots to learn everyday tasks by watching human videos and simulations, significantly reducing the need for extensive robot-specific training data. This approach allows robots to perform a variety of activities such as opening doors, watering plants, assembling boxes, cooking, and navigating challenging terrains with high precision and adaptability. Unlike traditional robotics methods that rely heavily on teleoperation and limited datasets, Skild Brain leverages large-scale human video data from the internet, bridging the “embodiment gap” by mapping human actions onto diverse robot morphologies—including humanoids, quadrupeds, and mobile manipulators—without retraining. Founded in 2023 by experts in self-supervised and adaptive robotics, Skild AI addresses the critical data bottleneck in robotics by pre-training its foundation model on vast human video datasets and physics simulations. Skild Brain is omni-bodied and resilient, capable of adapting in real time to unpredictable conditions such as limb loss or payload changes without