AI vision systems enabling robots to perceive and understand environments
Computer vision for robotics encompasses the AI algorithms, sensor systems, and processing architectures that enable robots to perceive, interpret, and act on visual information. Key capabilities include object detection and classification, depth estimation, semantic segmentation, and anomaly detection. The field has been transformed by deep learning, with foundation models like SAM (Segment Anything Model) enabling zero-shot visual understanding.
Computer vision is the foundational enabling technology for all autonomous robot systems. The shift to foundation models is dramatically reducing the cost of deploying vision capabilities, accelerating the viability of autonomous systems across all domains.