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Robotics Track

Robotics:
Level-02

4.8 (1,230 reviews)

Introduction to Robotics Level 2. Advanced robotics topics including ROS, computer vision, SLAM, robotic manipulation, drones, AI/ML for robotics, and capstone projects.

Created by Avanteia
12,580 Total Enrolled
25 August 2025 Last Updated
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Robotics Level-02 Course
3 Months Duration
Certificate On Completion
Level 2 Level
12 Modules Syllabus
3 Months Duration
English Language
Certificate Included

Overview

Advanced robotics topics including ROS, computer vision, SLAM, robotic manipulation, drones, AI/ML for robotics, and capstone projects.

Robotics ROS Computer Vision SLAM Drones AI/ML

Learning Outcome

Design, simulate, and program advanced robots; implement control, navigation, and AI algorithms; work with ROS, computer vision, SLAM, drones, and robotic manipulators; complete a capstone project demonstrating real-world robotic applications.

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
  • Robotic Arms & Grippers
  • Forward & Inverse Kinematics of Manipulators
  • Motion Planning Algorithms (RRT, PRM)
  • Control of Multi-DOF Arms
Hands-on Lab
Simulate robotic arm in MoveIt! + ROS Control 2-DOF robotic arm in Arduino Pick-and-place simulation in Gazebo
  • Quadcopters & Drone Dynamics
  • Flight Control Systems & Stabilization
  • Drone Sensors (GPS, IMU, Barometer)
  • PX4, ArduPilot & MAVLink
Hands-on Lab
Drone flight simulation in PX4 + Gazebo PID-based drone stabilization (simulation) GPS waypoint navigation (simulation)
  • Machine Learning Basics for Robotics
  • Deep Learning for Vision (CNNs, Object Detection)
  • Reinforcement Learning for Robotics (Q-Learning, DQN, PPO)
  • Human-Robot Interaction (HRI)
Hands-on Lab
Train a robot in PyBullet / OpenAI Gym Implement Q-Learning for grid-world robot navigation Object recognition with pre-trained CNN models (TensorFlow/PyTorch)
  • Swarm Robotics & Multi-Agent Systems
  • Humanoid Robotics (Balance, Gait Control)
  • Soft Robotics & Bio-inspired Robotics
  • Future Trends in Robotics (Edge AI, Cloud Robotics, Cobots)
Hands-on Lab
Swarm robot simulation in Webots Humanoid balance simulation in Gazebo Capstone Project: Self-driving car in CARLA simulator OR Drone delivery system simulation

What You Will Learn

Robotic Manipulation

Design and control robotic arms and grippers using kinematics, motion planning, and multi-DOF control.

Drones & Aerial Robotics

Understand quadcopter dynamics, flight control, and simulate drone navigation using PX4 and ArduPilot.

AI/ML for Robotics

Apply deep learning for vision, reinforcement learning for navigation, and human-robot interaction techniques.

Advanced Robotics & Capstone

Explore swarm robotics, humanoids, soft robotics, and complete a capstone project in CARLA or drone simulation.

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