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Jetson AI Labs - Introduction to Duckietown and Autonomous Robotics

Nvidia via YouTube

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Overview

Explore an informative AMA-style live stream featuring the NVIDIA Jetson team and guest panelist Jacopo Tani from Duckietown. Dive into the world of AI-powered robotics, learning about the Duckietown project, its MOOC offerings, and how it integrates with Jetson technology. Discover the latest updates in the Jetson ecosystem, understand the challenges of transitioning from simulation to real-world robotics, and gain insights into the Duckiebot's capabilities. Get answers to questions about course prerequisites, enrollment fees, hardware specifications, and the possibility of building your own Duckiebot. Whether you're a beginner or an experienced developer, this comprehensive discussion provides valuable information on getting started with AI-driven autonomous systems and robotics education.

Syllabus

- Introduction
- Latest news from the Jetson World
- Hosts’ background information
- Questions about Jetpack 4.5 release date
- Questions about the second course on Jetson Nano in DLI
- Guest speaker intro - Dr Jacopo Tani from Duckietown
- Duckietown intro
- Duckietown’s drones
- How Duckietown’s team is handling the challenges of being remote
- Challenges of going from simulation to real-world robots
- Duckietown’s MOOC introductory video
- How to get started with MOOC
- What’s inside the MOOC
– Duckiecity space requirement
- Difference between JetBot and the Duckietown robot
- Duckietown robot supports the Jetson Nano 2GB
- Prerequisites for the Duckietown course
- Course enrollment fee
– Duckiebot speed
- Sensors used in Duckietown city + preferred cameras for Duckiebot and JetBot
- How to see the footage from Duckiebot
- Can you build your own Duckiebot?

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NVIDIA Developer

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