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AI Autonomous Robot

  • Installation
    • Summary
    • ※ Assembly Process
    • JupterLab Access & Run examples
  • Hardware
    • Critical Parts
    • SBC(Single Board Computer)
    • Block Diagram
    • Option: 6-axis robot arm
  • Software
    • ROS
    • NVIDIA Inference
    • JupyterLab

Mini Autonomous Robot

  • Installation
    • Summary
    • ※ Jetson Nano ver.
    • ※ Raspberry Pi ver.
    • JupterLab Access & Run examples
  • Hardware
    • Critical Parts
    • SBC(Jetson Nano)
    • SBC(Raspberry PI 4B)
    • Block Diagram
  • Software
    • ROS 1 (Jetson Nano)
    • ROS 2 (Raspberry)
    • Docker
    • JupyterLab
    • CES2023

Lets Try It Out!!!

  • Communication
    • ROS Topic Publisher
    • ROS Topic Subscriber
    • ROS Command Example
    • ROS Service Server
    • ROS Service Client
    • ROS Action Server
    • ROS Action Client
  • Robot Sensors
    • IMU
    • Sonar
    • Camera
    • LIDAR
  • Multi-Media
    • Speaker
    • Joystick Vibration
  • Convergence Problems
    • Processing Delay Publisher
    • Processing Delay Subscriber
    • Time Slot Publisher
    • Time Slot Subscriber

AI Training Content

  • Robot Artificial Intelligence
    • Blue Color Detection
    • Color Detection
  • AI training examples
    • Detecting Objects within an Image
      • Detecting Oranges - googlenet
      • Detecting Oranges - alexnet
      • Network
    • Detecting Objects within a Video
      • Detecting Cars
      • Detecting Pedestrians
      • Detecting Dogs
      • Network
    • Detecting Objects with Camera
      • Object Detection
      • Facial Detection
      • Detecting Dogs
      • Network
    • Object Segmentation with Camera
      • Object Segmentation
      • Network
    • Depth Estimation with Camera
      • Depth Estimation
      • Network
    • Pose Recogntition with Camera
      • Hand Gesture Recognition
      • Network
    • Write ‘10 lines’ example code
  • Training with AI inference examples
    • Try it out
      • Image Recognition
        • Launching the Program
        • Examples through Jupyter Notebook
      • Object Detection
        • Launching the Program
        • Examples through Jupyter Notebook
      • Object Detection
        • Launching the Program
        • Examples through Jupyter Notebook
      • Pose Estimation with PoseNet
        • Launching the Program
        • Examples through Jupyter Notebook
      • Monocular Depth with DepthNet
        • Launching the Program
        • Examples through Jupyter Notebook
    • Model Explanation
    • Project Code Structure
    • Mission

Training with AI

  • AI Image Recognition using GoogleNet
    • Follow Along!
    • Overall Explanation
      • Overview
      • GoogleNet
    • Coding Explanation
    • Mission
  • AI Image Recognition using AlexNet
    • Follow Along!
    • Overall Explanation
      • Overview
      • AlexNet
      • How are GoogleNet and AlexNet?
    • Coding Explanation
    • Mission
  • Image Recognition using Camera
    • Writing Python Program as a Team
  • Body Pose Estimation with Pose-ResNet18-Body
    • Follow Along!
    • Overall Explanation
      • Overview
      • Pose-ResNet18-Body
        • Residual Blocks
    • Coding Explanation
      • Major Functionalities
      • Minor Functionalities
    • Mission
      • Writing Custom poseNet Program
      • Executing the Custom Program
      • Let’s Change the Overlay!!!

Lets Have a Lot of Fun!!!

  • Robot Arm
    • Moving the Robot Arm
    • Read Servo Motor Angle
    • Controlling Servo Motors
    • Dancing with the Robot Arm
    • Robot Arm teaching
    • Tracking Objects with the Robotic Arm
    • Tracking a Face with the Robotic Arm
    • Gripper Control
    • Robot Dance - 1
    • Robot Dance - 1
  • Fun Trials
    • Dancing Robot
    • Catching Robot

Lets Do it as a Team!!!

  • Basic Concept & Terminology
    • Mapping & SLAM
      • What is mapping?
      • What is SLAM?
    • Localization & AMCL
      • What is Localization?
      • AMCL(Adaptive Monte Carlo Localization)
    • Path Planning
      • Global Cost map & Planner
        • Global Cost map & Global Planner
      • Local Cost map
        • What is Local Cost map?
        • Obstacle Layer
        • Inflation layer
      • Local Planner
        • What is Local Planner?
        • DWA Local Planner
        • Robot Configuration Parameters
        • Goal Tolerance Parameters
        • Forward Simulation Parameters
        • Trajectory Scoring Parameters
  • Navigation setting for Zetabot
    • Mapping In-Action
    • Navigation In-Action
  • Control Parameter
    • 1. Modification of parameters by direct navigation into the folder
    • 2. Entering parameter values in real time on the GUI
      • Control Parameter
      • Inflation Layer
      • Cost_scaling_factor
  • Driving the Robot
    • Driving the Robot
    • Driving the Robot (Odometry)
  • Global / Local Coastmap

Documentation

  • NVIDIA TAO Toolkit
    • General Purpose Model Architecture
    • NVIDIA Optimized Pre-trained models
    • User Defined ONNX model
    • Term Explanation
    • TAO Toolkit Pre-Requisite Installation Guide
      • TAO CLI Pre-Requisite Installation Guide
    • TAO Launcher Methods
      • TAO launcher
        • Introductory Explanation
        • Launching TAO toolkit
    • TAO Run Example (Detectnet_v2)
      • Detectnet_v2 (NVIDIA example)
        • Pre-Requisites
    • TAO Run Example (YOLO_4_Tiny)
      • YOLO_4_Tiny
    • TAO Run Example (Tensor Visualization)
      • TensorBoard Visualization
Zetabot
  • Communication
  • Edit on GitHub

Communication

Here are the articles in this section

  • ROS Topic Publisher
  • ROS Topic Subscriber
  • ROS Command Example
  • ROS Service Server
  • ROS Service Client
  • ROS Action Server
  • ROS Action Client
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