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Robotics Track

Robotics:
Level-01

4.8 (1,230 reviews)

Introduction to Robotics Level 1. Deepen your robotics knowledge with sensors, actuators, microcontrollers, control systems, ROS, computer vision, and SLAM. Hands-on projects included.

Created by Avanteia
12,580 Total Enrolled
25 August 2025 Last Updated
Enroll Now
Robotics Level-01 Course
2 Months Duration
Certificate On Completion
Level 1 Level
8 Modules Syllabus
2 Months Duration
English Language
Certificate Included

Overview

Deepen your robotics knowledge with sensors, actuators, microcontrollers, control systems, ROS, computer vision, and SLAM. Hands-on projects included.

Robotics ROS Computer Vision SLAM Sensors Actuators

Learning Outcome

Build and program robots using sensors and actuators, implement control systems, simulate robots in ROS, apply computer vision, and understand SLAM for autonomous navigation.

Syllabus

Click any module to expand and view topics and hands-on labs included.

  • What is Robotics? Applications in industry & research
  • Types of Robots (wheeled, legged, industrial, drones, humanoids)
  • Basics of Electricity (Voltage, Current, Resistance, Ohm's Law)
  • Introduction to Microcontrollers (Arduino, ESP32, Raspberry Pi Pico)
  • Programming Basics (Python + C/C++)
Hands-on Lab
Blink LED on Arduino (Hello World of Robotics) Simulate Arduino circuits on Tinkercad Circuits Control motor speed with Arduino + PWM Free Course: Arduino Fundamentals (FreeCodeCamp)
  • Types of Sensors (IR, Ultrasonic, Temperature, IMU, Camera basics)
  • Types of Actuators (DC, Servo, Stepper Motors, Linear Actuators)
  • Interfacing Sensors with Microcontrollers
  • Signal Conditioning & Noise Reduction
Hands-on Lab
Measure distance with Ultrasonic Sensor Control servo with Arduino Read IMU sensor data (Accelerometer + Gyroscope)
  • Types of Robot Locomotion (Wheeled, Tracked, Legged, Hybrid)
  • Basics of Differential Drive Robots
  • Motor Drivers (L293D, H-Bridge, ESCs)
  • Kinematics of Mobile Robots
Hands-on Lab
Build a basic wheeled robot (Arduino + Motor Driver) Simulate robot movement in Webots
  • Open-loop vs Closed-loop Control
  • Feedback Systems & Sensors for Control
  • PID Control (Tuning & Applications)
  • Stability & Error Analysis
Hands-on Lab
Implement PID control for motor speed Line-following robot with PID (Arduino + IR sensors)
  • Graph Search Algorithms (BFS, DFS, Dijkstra, A*)
  • Grid Maps & Occupancy Maps
  • Introduction to Localization & Navigation
  • Basics of Autonomous Robots
Hands-on Lab
Implement A* path planning in Python Obstacle-avoiding robot (Arduino + Ultrasonic Sensor) Navigation simulation in Gazebo
  • Introduction to ROS/ROS2
  • ROS Core Concepts: Nodes, Topics, Services, Parameters
  • ROS Tools: RViz, Gazebo, RQt
  • Simulating TurtleBot
Hands-on Lab
Write a ROS publisher/subscriber in Python Run a TurtleBot in Gazebo Map visualization in RViz Free Course: ROS Tutorials
  • Basics of Image Processing (OpenCV in Python)
  • Color Detection & Shape Recognition
  • Object Detection & Tracking
  • Camera Calibration & Perspective
Hands-on Lab
Detect shapes & colors using OpenCV Object tracking with webcam Image thresholding & edge detection
  • What is SLAM? Types (Visual SLAM, Lidar SLAM)
  • ORB-SLAM, RTAB-Map, GMapping
  • Mapping & Localization in ROS
  • Loop Closure Problem
Hands-on Lab
Run SLAM with TurtleBot3 in ROS2 + Gazebo Build a 2D map with Lidar in ROS Visual SLAM with webcam

What You Will Learn

Robot Building & Programming

Build and program robots using Arduino, ESP32, and Raspberry Pi Pico with Python and C/C++.

ROS & Simulation

Master ROS/ROS2 concepts, simulate robots in Gazebo, and visualize data in RViz for autonomous systems.

Computer Vision

Apply OpenCV for color detection, shape recognition, object tracking, and camera calibration in robotics.

SLAM & Autonomous Navigation

Implement visual and Lidar SLAM, build occupancy maps, and enable autonomous robot navigation.

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