How Jaiveer Singh Is Helping Robots — and Developers — Move Faster
NVIDIA Blog · NVIDIA Writers · 2026-06-30
NVIDIA profiles Jaiveer Singh, who leads the Isaac ROS team and is building open-source, CUDA-accelerated robotics middleware on the ROS 2 framework to give developers modular building blocks for autonomous mobile robots, manipulation systems, and humanoids.
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Extraction
Topics: robotics-softwarephysical-aiopen-source-roboticsnvidia-isaac-rosros2
Claims
- NVIDIA Isaac ROS is built on the open source ROS 2 framework and provides CUDA-accelerated libraries and AI models for robotics developers across manipulation, mobility, and humanoid systems.
- Isaac ROS originated as Jaiveer Singh's intern project at NVIDIA and has since grown into a full team-led platform.
- Open source design gives robotics developers confidence that the platform will remain available to inspect and modify as the rapidly evolving field changes.
- Isaac ROS is being extended to support AI agents and humanoid systems that need an end-to-end software stack.
- The Isaac ROS platform runs on workstations, NVIDIA DGX Spark personal AI supercomputers, and NVIDIA Jetson edge systems.
Key quotes
My goal is to make sure everyone feels like they are a part of the robotics future.
We ship the software like a bunch of LEGO bricks — you get to assemble them however you want, and you can easily combine our packages with existing ROS code written by you or others in the global robotics community.
When more people can build robots, the future gets here faster.