From development, simulation to deployment, accelerate and optimize robot R&D
Whether it is the intelligent automation of the manufacturing industry or the end distribution, robots are gradually entering daily life. However, the research and development process of industrial and commercial robots is quite complicated, time-consuming, challenging, and costly. In many use cases and scenarios, a lack of structured environment is also common. The NVIDIA Isaac™ robotic platform can solve these challenges. End-to-end solutions can help reduce costs, simplify development processes, and accelerate product time-to-market。
End-to-end Isaac robotic platform
Speed up the development process by optimizing the robot development, simulation and deployment links。
Learn what's new in NVIDIA Isaac
Isaac perception based on ROS
NVIDIA is expanding GEMS based on hardware acceleration and providing AI algorithms to the ROS community as open source. NVIDIA announced a partnership with OSR...
Omniverse Replicator supports Isaac Sim
Isaac Sim now provides developers with a data cockpit to comprehensively generate data sets of machine learning (ML) models based on easy-to-understand paramete...
Data generation
Collecting and labeling data sets is time-consuming and costly. Diversified training data helps to improve the accuracy of the AI model. Use NVIDIA Isaac Sim to...
Simulation and testing
With NVIDIA Isaac Sim running in the NVIDIA Omniverse™ virtual environment, robots can be trained and tested virtually in a realistic and physically accurate en...
Train your robot
From local workstations to large-scale AI in data centers and the cloud, choose the best NVIDIA platform to train your AI model.NVIDIA also introduced the TAO t...
Application development
Use hardware-accelerated SDKs to develop high-performance robotics applications, such as Isaac ROS GEM for ROS-enabled robots, Deepstream SDK for image and vide...
Deployment and management
Only NVIDIA provides a complete end-to-end workflow that supports seamless deployment. Robot applications can be ported to NVIDIA edge devices, from NVIDIA Jets...