Nvidia provides the AI compute and simulation platforms that power many of today’s advanced robots and autonomous machines. Its portfolio spans Jetson and IGX edge AI modules for onboard perception and control, data‑center GPUs for training and reinforcement learning, and the Nvidia Isaac platform, which combines pre‑trained models, SDKs and Omniverse‑based simulation for robot development. Using high‑fidelity digital twins and synthetic data generation, robotics teams can test navigation, manipulation and safety behaviors in virtual environments before deploying to physical hardware, accelerating iteration cycles and reducing risk. For industrial customers, Nvidia offers RTX‑powered reference servers and systems that support real‑time 3D sensor processing, industrial digitalization and large‑scale robot fleet management. By unifying compute, AI software and realistic simulation, Nvidia helps OEMs, integrators and startups bring autonomous mobile robots, manipulators and collaborative robots to market faster while meeting demanding performance and reliability requirements.
How does Nvidia support robotics and autonomous machines?
Nvidia provides GPUs, edge modules, software stacks and tools that power perception, planning and control for robots and autonomous machines.
What is the Nvidia Isaac robotics platform?
Isaac is Nvidia’s end‑to‑end robotics platform that combines AI models, SDKs, sensor‑processing pipelines and Omniverse‑based simulation for training and testing robots.
Which Nvidia hardware is commonly used at the edge in robots?
Robots commonly use Nvidia Jetson and IGX modules to run AI perception, mapping and control workloads directly onboard.
How is simulation used in Nvidia’s robotics workflow?
Developers can build digital twins of robots and sites in Omniverse, then use Isaac Sim to generate synthetic data and validate behaviors before deploying to real hardware.
Can Nvidia platforms integrate with ROS and ROS 2?
Nvidia provides ROS and ROS 2 compatible drivers and packages so robots built on ROS can benefit from GPU acceleration.
What kinds of robots use Nvidia technology?
Nvidia technology is used in autonomous mobile robots, industrial manipulators, logistics robots, agricultural machines, drones and more.
How does synthetic data help improve robot perception models?
Synthetic data lets teams generate diverse, labeled sensor datasets so perception models become more robust than with real‑world data alone.
What resources are available for developers who are new to Nvidia robotics?
Nvidia offers documentation, sample applications, developer forums and reference designs that help robotics teams get started quickly.
Rate us and Write a Review
Your request has been submitted successfully.
Own or work here?