Video by OpenCV via YouTube
Seeing isn’t enough anymore. For robots in the era of Physical AI, vision has to become spatial understanding and then action: where is that object, how far away is it, what’s changing, and what should the robot do next?
This session shows how computer vision is evolving into the Visual Cortex of Physical AI by combining RGB imaging, stereo depth, spatial awareness, and agentic AI. You’ll see how OpenCV works alongside 3D depth cameras, NVIDIA Jetson, ROS 2, and emerging vision-language models to power autonomous robotic applications.
Live demos and open-source examples using RealSense depth cameras and AgenticROS cover:
Spatial reasoning from depth data
Autonomous navigation
Human detection and interaction
Natural-language robot control
Built for computer vision developers exploring robotics and roboticists integrating agentic AI. Expect practical architectural patterns, working code, and a clear path from camera observations to meaningful robot behavior.
About our guest: Chris Matthieu is a serial entrepreneur and active developer who has built and sold five emerging tech companies in the areas of communications, IoT, and decentralized supercomputing. He currently serves as the chief developer evangelist for RealSense, where he focuses on AI, robotics, and stereo depth technologies. Chris is a frequent speaker at robotics and emerging technology conferences.
OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/
Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.
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