The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!

The age of the machines has arrived. Nvidia has announced that it will use the latest advances in artificial intelligence to make it easier for developers to create intelligent robots.

The company showed off the Isaac Robot Simulator today during the keynote speech of Jen-Hsun Huang, CEO of Nvidia, at the GPU Technology Conference in San Jose, California.

The simulator enables robots to be trained in simulated conditions before they’re deployed in the real world. Nvidia provides its Jetson-based reference platform to make it easier to create a smart robot.

Learn how developers and brand marketers are using AI to grow their businesses, at MB 2017 on July 11-12 in SF. We cut through the hype to show how marketers are achieving real ROI. Get your 50% off Early Bird ticket by May 19!

Huang introduced Isaac, a robot that could play hockey, and noted how it could use deep learning neural networks to figure out the best way to shoot a puck and then learn over time.

“Robots based on artificial intelligence hold enormous promise for improving our lives, but building and training them has posed significant challenges,” Huang said. “Nvidia is now revolutionizing the robotics industry by applying our deep expertise in simulating the real world so that robots can be trained more precisely, more safely, and more rapidly.”

At GTC, more than 50 companies are showing robots based on Nvidia’s Jetson platform, which enables fast, efficient processing of complex data on edge devices.

The robots are capable of handling such tasks as search and rescue, elder support, and industrial automation of tedious or potentially dangerous tasks.

The Isaac robot simulator provides AI-based software platform that lets teams train robots in highly realistic virtual environments and then transfer that knowledge to real-world units.

Isaac is built on an enhanced version of Epic Games’ Unreal Engine 4 and uses Nvidia’s advanced simulation, rendering, and deep learning technologies.

Working within this virtual environment, developers can set up test scenarios using deep learning training, and then simulate them in minutes. Once a simulation is complete, the information can be quickly transferred to real-world robots. Companies using Jetson reference platforms include Toyota, Teal, Enroute Lab, Starship, Marble, FIRST, and Dispatch.AI.


VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:
  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more
Become a member