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Robotics

Avanteia Course Details
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Robotics: Level-01

(1,230 reviews)
author
Created by
Avanteia

Total Enrolled

12,580

Last Update

25 August 2025

Category

Robotics

Introduction to Robotics Level 1

Overview:

  • Deepen your robotics knowledge with sensors, actuators, microcontrollers, control systems, ROS, computer vision, and SLAM. Hands-on projects included.
  • Duration: 3 Months

Topics Covered:

  • Module 1: Foundations of Robotics (Robotics basics, Types of Robots, Electricity, Microcontrollers, Programming)
  • Module 2: Sensors & Actuators (Types of Sensors, Types of Actuators, Interfacing Sensors, Signal Conditioning)
  • Module 3: Robot Locomotion (Wheeled, Tracked, Legged robots, Differential Drive, Motor Drivers, Kinematics)
  • Module 4: Control Systems (Open-loop vs Closed-loop, Feedback, PID Control, Stability & Error Analysis)
  • Module 5: Path Planning & Navigation (Graph Search, Grid Maps, Localization, Autonomous Robots)
  • Module 6: Robot Operating System (ROS/ROS2 concepts, Nodes, Topics, Services, Tools, TurtleBot simulation)
  • Module 7: Computer Vision for Robotics (OpenCV basics, Color & Shape Detection, Object Tracking, Camera Calibration)
  • Module 8: SLAM (Visual & Lidar SLAM, ORB-SLAM, RTAB-Map, Mapping & Localization in ROS)

Syllabus

Module 1: Foundations of Robotics (Beginner)
  • 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++)

LAB 1
  • 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)

Module 2: Sensors & Actuators
  • 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

LAB 2
  • Measure distance with Ultrasonic Sensor
  • Control servo with Arduino
  • Read IMU sensor data (Accelerometer + Gyroscope)

Module 3: Robot Locomotion
  • Types of Robot Locomotion (Wheeled, Tracked, Legged, Hybrid)
  • Basics of Differential Drive Robots
  • Motor Drivers (L293D, H-Bridge, ESCs)
  • Kinematics of Mobile Robots

LAB 3
  • Build a basic wheeled robot (Arduino + Motor Driver)
  • Simulate robot movement in Webots

Module 4: Control Systems
  • Open-loop vs Closed-loop Control
  • Feedback Systems & Sensors for Control
  • PID Control (Tuning & Applications)
  • Stability & Error Analysis

LAB 4
  • Implement PID control for motor speed
  • Line-following robot with PID (Arduino + IR sensors)

Module 5: Path Planning & Navigation
  • Graph Search Algorithms (BFS, DFS, Dijkstra, A*)
  • Grid Maps & Occupancy Maps
  • Introduction to Localization & Navigation
  • Basics of Autonomous Robots

LAB 5
  • Implement A* path planning in Python
  • Obstacle-avoiding robot (Arduino + Ultrasonic Sensor)
  • Navigation simulation in Gazebo

Module 6: Robot Operating System (ROS)
  • Introduction to ROS/ROS2
  • ROS Core Concepts: Nodes, Topics, Services, Parameters
  • ROS Tools: RViz, Gazebo, RQt
  • Simulating TurtleBot

LAB 6
  • Write a ROS publisher/subscriber in Python
  • Run a TurtleBot in Gazebo
  • Map visualization in RViz
  • Free Course: ROS Tutorials

Module 7: Computer Vision for Robotics
  • Basics of Image Processing (OpenCV in Python)
  • Color Detection & Shape Recognition
  • Object Detection & Tracking
  • Camera Calibration & Perspective

LAB 7
  • Detect shapes & colors using OpenCV
  • Object tracking with webcam
  • Image thresholding & edge detection

Module 8: SLAM (Simultaneous Localization & Mapping)
  • What is SLAM? Types (Visual SLAM, Lidar SLAM)
  • ORB-SLAM, RTAB-Map, GMapping
  • Mapping & Localization in ROS
  • Loop Closure Problem

LAB 8
  • Run SLAM with TurtleBot3 in ROS2 + Gazebo
  • Build a 2D map with Lidar in ROS
  • Visual SLAM with webcam


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.

Reviews

  • image
    Mansi Manjrekar

    Avanteia offers the best Robotics courses in Goa! I enrolled for Level 1 and learned so much with hands-on practice. Highly recommend for students and hobbyists.

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    Barkelo Gaonkar

    Robotics Level 1 is practical and beginner-friendly. I loved the hands-on sessions with Arduino, sensors, ROS, and SLAM. Highly recommended!

  • image
    Tanraj Simones

    This is the only institute in Goa that truly focuses on career growth. Whether it's Robotics,a Blockchain or Digital Marketing, the trainers are super helpful and the learning is very practical.

🛣️ Robotics Roadmap (Level 1)

Deepen robotics with sensors, actuators, microcontrollers, control, path planning, ROS/ROS2, computer vision, and SLAM with hands-on projects.

1
Step 1
📊

Robotics Level 01

Deepen your robotics skills with sensors, actuators, robot locomotion, control systems, path planning, and ROS fundamentals.

2
Step 2
🚀

Robotics Level 02

Master advanced robotics topics including SLAM, robotic manipulation, drones, AI for robotics, and capstone projects.

3
Step 3
🧑‍💻

Internship

Gain hands-on experience through a free 1-year internship working on robotics projects.

1 Year
FREE
4
Step 4
📝

Mini Project

Work on guided mini projects to sharpen and demonstrate your robotics skills.

6 Months
5
Step 5
💼

Expected Jobs

Pursue roles such as Robotics Engineer, Automation Specialist, Control Systems Engineer, and Research Associate.

Robotics Engineer
Automation Specialist
Control Systems Engineer
Research Associate
🎯

🏆 Career Destinations

Entry-level (India)
₹5–10 LPA
Mid-level (India)
₹12–22 LPA
Senior-level (India)
₹25–40 LPA+
🌎 Global Roles
$60,000–$130,000