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。
Speed up the development process by optimizing the robot development, simulation and deployment links。
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...
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...
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...
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...
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...
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...
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...