Humanoid widens its work with NVIDIA on onboard computing for its next robots

SUMMARY

Humanoid, the UK-based AI and robotics company, announced on 21 October 2026 that it is expanding its collaboration with NVIDIA. The two companies are developing a high-performance robotic edge runtime for Humanoid's next-generation robots, with the aim of running more sophisticated AI directly onboard.

Humanoid says it is integrating NVIDIA Jetson Thor, NVIDIA Isaac OS, NVIDIA Holoscan Sensor Bridge and the Holoscan SDK. Jetson Thor is the onboard compute. Humanoid reports that moving to it let the company consolidate two onboard computers into one system while keeping the same computing capacity, with possible extra headroom later. It adds that the unified CPU and GPU memory of Jetson Thor cuts unnecessary data movement and latency, and simplifies how workloads share compute.

The Holoscan Sensor Bridge is meant to shorten the path from sensors to AI models. According to Humanoid, camera data can be placed directly into GPU-accessible memory, which reduces data copies and CPU load and allows lower-latency processing across perception, inference and control. Isaac OS is described as an open, deterministic runtime framework that provides a GPU-native runtime for coordinating several robotics workloads. Humanoid says Multi-Gigabit Ethernet provides up to 100Gb of bandwidth for sensor data and command and control signals.

The company also says it has used NVIDIA Isaac Lab and Isaac Sim since its early days to train and simulate models before deploying them on physical robots, which gives it a connected workflow from training and simulation through to real-world operation. Humanoid says the companies will keep working together as it advances its robotics platform and prepares its next generation of robots.

Drafted with AI assistance from the source and reviewed by WBH. Follow the source link for the full text.