From raw sensor feed to training-ready dataset this post explains how data annotation works in robotics, why it's the most overlooked step in building physical AI.
Multi-modal data refers to the training dataset itself, while multi-modal AI refers to the model trained on that data. You cannot have reliable multi-modal AI without high-quality, well-synchronized multi-modal data behind it.
Choosing the right sensor for robot perception isn't either-or. Nferent AI shows why robust Physical AI needs both LiDAR and cameras, working together.