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Date: Tuesday, September 12 2023
Time: 8:00-9:00 a.m. PT
Duration: 1 hour

Simulation is an indispensable tool in the ever-evolving field of robotics, particularly in the industrial setting. Engineers can now virtually design, test, and optimize robotic systems before physical implementation, unlocking immense potential for innovation, safety, and cost reduction

In this webinar, industry experts from MathWorks and NVIDIA will demonstrate the seamless connection between MATLAB and NVIDIA Isaac Sim™ through ROS. This integration not only empowers precise physics-based control of robots, but also processes realistic simulated sensor data within the robotic system. We'll demonstrate how to use this integration with workflows for manipulator and mobile robot applications.

In this webinar you'll learn:
  • How to connect MATLAB, Simulink, and Isaac Sim through ROS
  • The workflow that enables realistic environments, accurate physics, and virtual sensor inputs
  • How machine learning is used to develop autonomous task operation.

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DGX Station Datasheet

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DGX Station Whitepaper

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DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.


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Ronal George
Application Engineer, Robotics and Autonomous Systems, MathWorks
Ronal George is a senior application engineer for robotics and autonomous systems at MathWorks. Prior to joining MathWorks in April 2019, Ronal worked as an inside sales engineer at SPX Transformer Solutions and as an electrical design engineer at WindLabs. He has a master’s degree in electrical engineering from North Carolina State University. As a part of his master’s, Ronal worked with the Advanced Diagnosis, Automation and Control (ADAC) Laboratory to develop planning and localization algorithms for multiagent systems.
Sandra Skaff
Senior Alliances and Ecosystem Manager, NVIDIA
Sandra Skaff leads robotics ecosystem development and works with cross-functional teams to support partners and customers in developing their products using the NVIDIA Isaac platform. Prior to this role, she was global lead of academic research engagements. That included the NVAIL program, where she was responsible for setting the strategy and managing a portfolio of engagements with top research labs in the areas of AI, robotics, and data science. Sandra has 10 years of experience in computer vision and machine learning R&D at both large corporations and startups. She received her PhD and MEng. degrees in Computer Vision from McGill University, Montreal, Canada. Sandra has also authored and co-authored 20 peer-reviewed conference and journal publications and has been granted 13 patents.

Amit Goel is Director of Product Management for Autonomous Machines at NVIDIA, where he leads the product development of NVIDIA Jetson, the most advanced platform for AI computing at the edge. Amit has more than 15 years of experience in the technology industry working in both software and hardware design roles. Prior to joining NVIDIA in 2011, he worked as a senior software engineer at Synopsys, where he developed algorithms for statistical performance modeling of digital designs. Amit holds a Bachelor of Engineering in electronics and communication from Delhi College of Engineering, a Master of Science in electrical engineering from Arizona State University, and an MBA from the University of California at Berkeley.
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Date & Time: Wednesday, April 22, 2018