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10-Week Course Syllabus

Week 1

Lecture and Lab

  • Class expectations
  • "What will a robotics class enable me to do?"
    • Search web for robotics jobs, i.e. keywords 'deep learning,' 'ROS2,' 'AI'
  • Grading formula
  • Syllabus
    • Classes schedule and high level deliverables
  • Introduction to the class resources
    • Laboratory and tool
  • Laboratory and safety training
  • Design robot, start building robot
  • Deep Learning
    • Virtual Machines
    • DonkeyCar: running on student host computer
    • DonkeySim: running on student host computer
  • CBT/e-book
    • Embedded Linux
    • Python
    • Concepts of ROS2

Assignments Due

  • Begin designing robot
    • Electronics mount plate
    • 3D print camera mount
    • 3D print single board computer case
  • DonkeyCar DonkeySim
    • 3 autonomous laps running on student host computer (due Tuesday of Week 2)
  • Linux and Python traning modules
  • ROS2 Basics in 5 Days (Python) Section: Introduction

Week 2

Lecture and Lab

  • Team members review and adjust. Let’s lock the teams. Starting this week it will be very hard for people to join and catch.
  • Deep Learning
    • Review of Virtual Machines and Host Machines
      • We use a virtual machine image from a hypervisor company called VMware
      • The instructions to use our virtual machine is here
    • DonkeyCar - running on students host computer
    • DonkeySim - running on the external server
  • Embedded Linux on a low power single board computer (SBC)
    • How can we install software without a computer monitor, keyboard, and mouse connected to an embedded computer (single board computer)?
  • Installing the software into the SBC
  • Jetson Nano Single Board Computer (SBC) Hands-on
    • Remote access without a monitor, keyboard, mouse
      • Initial connection using a USB cable
      • Connect to a local WiFi access point e.g., UCSDRoboCar
    • Multi-user on a low power SBC
    • User Security
    • Installing software using Secure Shell (SSH)
    • Remote Desktop
  • Robot Components and Electronics
  • GPS Based Navigation
    • GNSS (GPS) 3D Localization
    • RTK GNSS Error Correction
      • Base Station
      • Services
        • Open source
        • Paid services
  • Robot design completed, and major components in place
    • Completed
      • Electronics mount plate
      • 3D printed camera mount
      • 3D printed case for the single board computer (SBC)
    • Incorporate
      • GNSS unit and antenna
      • Electronics wiring
  • CBT / e-book
    • ROS2 Basics: Topics, Launch files

Assignments Due

  • Donkey Car DonkeySim 3 autonomous laps - sim running on the external server (due Thursday of Week 2)
  • Basic software setup on Jetson (Jetpack, WiFi, hostname, DonkeyCar, etc.) (due Tuesday of Week 3)
  • Robot components ready (Thursday of Week 3)
    • Mechanical Components
    • Electrical Components
    • Software - Linux, Jetpack, OpenCV GPU Accelerated, DonkeyCar
    • Deep Learning laps
    • DonkeyCar GNSS Navigation
  • ROS2 Basics in 5 Days (Python) Sections: Basic Concepts, Topics

Week 3

Lecture and Lab

  • UCSD’s SuperComputer GPU Cluster Deep Learning acceleration
  • Hands-on GPS/GNSS Based Navigation - putting all together - In font of EBU I
    • 3 outdoors autonomous laps using GNSS
  • 3 Autonomous Laps Deep Learning on EBUII outdoor track

Assignments Due

  • 3 Autonomous Laps GNSS / GPS - EBU I (Tuesday of Week 4)
  • 3 Autonomous Laps Deep Learning - EBU II (Thursday of Week 4)
  • ROS2 Basics in 5 Days (Python) Section: Services

Week 4

Lecture

  • Introduction to Docker and Git
  • Introduction to UCSD ROS 2 Robocar Framework
  • Demo of Python Camera Based Navigation
  • Introduction to Class Final Project requirements
  • Introduction to Project Management

Assignments Due

  • Class Final Project Proposal (Tuesday Week 5)
  • 3 Autonomous Laps ROS2 (Thursday Week 5)
  • ROS2 Basics in 5 Days (Python) Section: Actions
  • ROS2 Guidebook

Week 5

Lecture

  • Neural Network
  • Car Dynamics
  • Final Project Status Update

Assignments Due

  • Weekly progress report on final project

Weeks 6 - 10

Lecture

  • As needed/per request
    • Suggested topics:
      • Filtering/state estimation
      • Path planning: GPS waypoint, LiDAR, SLAM
      • PID control
      • ROSBAGS, rviz, rqt

Assignments Due

  • Weekly presentation progress report on final project
  • Bonus: ROS2 NAV Course