RealSense and Nvidia Team Up to Boost Robotics with AI Cameras

Published Date : 9/5/2025 

RealSense, a leading computer vision technology firm, is integrating its depth-sensing AI cameras with Nvidia’s robotics platforms. This collaboration aims to improve the perception performance of robots and accelerate their development and deployment. 

RealSense, a leading computer vision technology firm, is set to integrate its depth-sensing AI cameras with Nvidia’s robotics platforms. This strategic collaboration will enable developers to enhance the perception performance of their robots, making them more efficient and versatile.

Through this partnership, RealSense plans to combine its products with Nvidia Jetson Thor Series for robot run-time computing, Nvidia Isaac Sim for digital twins, and Nvidia Holoscan Sensor Bridge for ultra-low-latency sensor streaming. These integrations are designed to provide developers with the tools they need to streamline the development process from prototype to deployment.

“By providing native integration and performance optimizations with NVIDIA Thor and Holoscan Sensor Bridge, we are accelerating the mainstream adoption of physical AI,” says Nadav Orbach, CEO of RealSense. The company’s depth cameras and vision technology are widely used in various applications, including autonomous mobile robots, humanoids, access control, industrial automation, healthcare, and more. RealSense has also been expanding its biometrics offerings and recently secured US$50 million in early-stage funding to support its growth.

The spun-out company, headquartered in California, U.S., with manufacturing operations in Asia, including Thailand, serves over 3,000 active customers and has experienced significant year-over-year growth. Orbach notes, “Our technology is not only advancing robotics but also opening new possibilities in biometrics and security.”

With the new integrations, RealSense aims to allow developers to stream native true depth and image data into NVIDIA Isaac Sim, which will help accelerate the development process. The integration also optimizes system architectures for NVIDIA Jetson Thor, ensuring maximum performance for robotics and physical AI applications. Additionally, the technology combines RealSense depth perception capabilities with the NVIDIA Holoscan Sensor Bridge to achieve real-time sensor fusion and ultra-low-latency data streaming.

NVIDIA Holoscan Sensor Bridge streaming, along with an on-camera neural network for improved image post-processing, will be integrated into the firm’s latest RealSense D555 depth camera. This camera features a v5 Vision Processor and integrated Power over Ethernet capability, delivering high-fidelity perception data suitable for humanoid robots and other robotic applications.

Jetson Thor, powered by the NVIDIABlackwell GPU and featuring 128GB of memory, delivers up to 2070 FP4 teraflops of AI compute within a 130-watt power envelope. Compared to its predecessor, NVIDIA Jetson Orin, Jetson Thor offers up to 7.5x higher AI compute and 3.5x greater energy efficiency.

Integrating Nvidia Jetson Thor’s AI compute with RealSense’s perception technology will allow robotics developers to shorten time to market, discover new applications, and scale safely into production. This collaboration is a significant step forward in the advancement of robotics and AI, opening new possibilities for innovation and efficiency in various industries. 

Frequently Asked Questions (FAQS): 

Q: What is RealSense?

A: RealSense is a computer vision technology firm that specializes in depth-sensing AI cameras and vision technology. It is an Intel spin-off and serves a wide range of applications, including robotics, biometrics, and security.

Q: What are the main benefits of integrating RealSense cameras with Nvidia’s platforms?

A: The integration of RealSense cameras with Nvidia’s platforms, such as Jetson Thor and Isaac Sim, enhances the perception performance of robots, accelerates development from prototype to deployment, and ensures maximum performance for robotics and physical AI applications.

Q: What is the Nvidia Jetson Thor Series?

A: The Nvidia Jetson Thor Series is a powerful platform for robot run-time computing. It delivers up to 2070 FP4 teraflops of AI compute within a 130-watt power envelope, offering significant improvements in AI compute and energy efficiency compared to its predecessor.

Q: What is the RealSense D555 depth camera?

A: The RealSense D555 depth camera features a v5 Vision Processor and integrated Power over Ethernet capability. It provides high-fidelity perception data suitable for humanoid robots and other robotic applications, with enhanced image post-processing and ultra-low-latency data streaming.

Q: How does the collaboration between RealSense and Nvidia benefit developers?

A: The collaboration between RealSense and Nvidia allows developers to shorten time to market, discover new applications, and scale safely into production. It provides optimized system architectures and real-time sensor fusion, making robotics development more efficient and effective. 

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