Using NVIDIA Jetson Nano with ROS Course - Python
Learn DeepLearnin using NVIDIA Jetson Nano with IgnisBot.
Course Summary
Learn how to use NVIDIA Jetson Nano for deep learning in simulation and in a physical robot.
What you will learn
- The basics of NVIDIA jetson NANO setup.
- How to move a jetbot based robot
- How to train through deep learning a robot to be able to do obstacle avoidance
- How to track people and follow them.
- How to execute code designed for GPU-CUDA enabled hardware in only CPU systems.
- Build your own IgnisBot, a robot designed for DeepLearning with JetsonNano Hardware.
Course Overview
Introduction Demo to NVIDIA Jetson Nano DeepLearning
Introduction Demo to NVIDIA Jetson Nano DeepLearning
Basics - Move Ignisbot
How to use the jetbot API to move a two-wheeled robot in simulation and in the physical robot that uses ROS.
Basics - Collision Avoidance with DeepLearning
How to train Ignisbot to be able to navigate in a known environment, avoiding obstacles.
Unit 3: Create the people folow ROS script
Rosify the people tracker so that any ROS system can access the detections, and create a people follower script that uses this data to create a behaviour for Ignisbot.
Unit 4: Ignisbot mini project
It's time to combine everything you learned in this course in order to make Ignisbot (simulated and physical) navigate around an environment, searching for people, and reacting to them.
Teachers
Miguel Angel Rodriguez
Crashing engineering problems. Building solutions.
Robots used
Garbage Collector Robot robot
IGNISBot robot
TIAGo robot
