
Robots are not just limited to the assembly line. At NVIDIA, Liila Torabi works on making the next generation of robotics possible. Torabi is the senior product manager for Isaac Sim, a robotics and AI simulation platform powered by NVIDIA Omniverse.
Torabi spoke with NVIDIA AI Podcast host Noah Kravitz about the new era of robotics, one driven by making robots smarter through AI.
The AI Podcast NVIDIA's Liila Torabi Talks the New Era of Robotics Through Isaac SIm Ep. 147
Isaac Sim is used to power photorealistic, physically accurate virtual environments to develop, test and manage AI-based robots.
Key Points From This Episode:
To get to a point where robots and humans can interact and work together, developers need to train the robots and simulate their behavior ahead of time to ensure performance, safety and a variety of other factors. This is where Isaac Sim comes into play.
For Torabi, the biggest technical hurdle is having the robot do more sophisticated jobs. Robot manipulation with different objects, shapes and environments is a challenge.
Tweetables: For robotics to get into the next era, we need it to be smarter, so we need the AI component to this. - Liila Torabi [8:08]
NVIDIA is well positioned for playing an important role in this next era of robotics because not only do we have the hardware for it, we know how to use this hardware to make this thing smarter. That's why I'm very excited to see where we can go with Isaac Sim. - Liila Torabi [12:09]
You Might Also Like: UC Berkeley's Pieter Abbeel on How Deep Learning Will Help Robots Learn
Robots can do amazing things. Compare even the most advanced robots to a three-year-old, however, and they can come up short. UC Berkeley Professor Pieter Abbeel has pioneered the idea that deep learning could be the key to bridging that gap: creating robots that can learn how to move through the world more fluidly and naturally.
Sergey Levine on How Deep Learning Will Unleash a Robotics Revolution
What if robots could learn, teach themselves and pass on their knowledge to other robots? Where could that take machines and the notion of machine intelligence? And how fast could we get there? Sergey Levine, an assistant professor at UC Berkeley's department of Electrical Engineering and Computer Sciences, explores these questions and more.
Jetson Interns Assemble! Interns Discuss Amazing AI Robots They're Building
NVIDIA's Jetson interns, recruited at top robotics competitions, discuss what they're building with NVIDIA Jetson, including a delivery robot, a trash-disposing robot and a remote control car to aid in rescue missions.
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