RealSense, Inc. and NVIDIA announced a strategic collaboration to accelerate physical Artificial Intelligence across humanoid robots and autonomous mobile robots. The initiative links RealSense depth cameras and perception software with NVIDIA robotics platforms, including NVIDIA Jetson Thor for robot run-time computing, NVIDIA Isaac Sim for digital twins and NVIDIA Holoscan Sensor Bridge for ultra-low-latency sensor streaming. The companies position the integration as a way to shorten time to market and scale perception systems into production.
Key product highlights from the announcement include the new RealSense D555 depth camera, which adds a v5 Vision Processor, on-chip Power over Ethernet, native NVIDIA Holoscan Sensor Bridge streaming and an on-camera neural network for enhanced image post-processing. The camera is described as ruggedized and equipped with a global shutter, IMU and native ROS 2 support to provide high-fidelity perception data. On the compute side, Jetson Thor is specified as using a NVIDIABlackwell GPU with 128GB of memory and delivering up to 2070 FP4 teraflops of Artificial Intelligence compute within a 130-watt power envelope. The release compares Jetson Thor to its predecessor, Jetson Orin, citing up to 7.5x higher Artificial Intelligence compute and 3.5x greater energy efficiency.
The collaboration emphasizes native integration for optimal perception performance and validated system architectures optimized for Jetson Thor. Developers will be able to stream true depth and image data directly into Isaac Sim to accelerate prototype-to-deployment cycles, integrate RealSense depth perception with Holoscan Sensor Bridge for real-time sensor fusion and leverage optimized stack configurations for production robotics. RealSense frames the work as advancing physical Artificial Intelligence and accelerating mainstream adoption of intelligent machines. The company is headquartered in Santa Clara, California, and says its mission is to deliver perception systems that safely integrate robotics and Artificial Intelligence into everyday life.
