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Robotics

Avanteia Course Details
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Robotics: Level-02

(1,230 reviews)
author
Created by
Avanteia

Total Enrolled

12,580

Last Update

25 August 2025

Category

Robotics

Introduction to Robotics Level 2

Overview:

  • Advanced robotics topics including ROS, computer vision, SLAM, robotic manipulation, drones, AI/ML for robotics, and capstone projects.
  • Duration: 3 Months

Topics Covered:

  • Module 1: Foundations of Robotics (Robotics basics, Types of Robots, Electricity, Microcontrollers, Programming)
  • Module 2: Sensors & Actuators (Sensors, Actuators, Interfacing, Signal Conditioning)
  • Module 3: Robot Locomotion (Wheeled, Tracked, Legged, 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, Nodes, Topics, Services, Tools, TurtleBot simulation)
  • Module 7: Computer Vision for Robotics (OpenCV, Color & Shape Detection, Object Tracking, Camera Calibration)
  • Module 8: SLAM (Visual & Lidar SLAM, ORB-SLAM, RTAB-Map, Mapping & Localization)
  • Module 9: Robotic Manipulation (Arms & Grippers, Kinematics, Motion Planning, Control of Multi-DOF Arms)
  • Module 10: Drones & Aerial Robotics (Quadcopters, Flight Control, Sensors, PX4, ArduPilot)
  • Module 11: AI & Machine Learning for Robotics (ML for Vision, Reinforcement Learning, HRI)
  • Module 12: Advanced Robotics & Capstone (Swarm Robotics, Humanoids, Soft Robotics, Capstone Project)

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

Module 9: Robotic Manipulation
  • Robotic Arms & Grippers
  • Forward & Inverse Kinematics of Manipulators
  • Motion Planning Algorithms (RRT, PRM)
  • Control of Multi-DOF Arms

LAB 9
  • Simulate robotic arm in MoveIt! + ROS
  • Control 2-DOF robotic arm in Arduino
  • Pick-and-place simulation in Gazebo

Module 10: Drones & Aerial Robotics
  • Quadcopters & Drone Dynamics
  • Flight Control Systems & Stabilization
  • Drone Sensors (GPS, IMU, Barometer)
  • PX4, ArduPilot & MAVLink

LAB 10
  • Drone flight simulation in PX4 + Gazebo
  • PID-based drone stabilization (simulation)
  • GPS waypoint navigation (simulation)

Module 11: AI & Machine Learning for Robotics
  • Machine Learning Basics for Robotics
  • Deep Learning for Vision (CNNs, Object Detection)
  • Reinforcement Learning for Robotics (Q-Learning, DQN, PPO)
  • Human-Robot Interaction (HRI)

LAB 11
  • Train a robot in PyBullet / OpenAI Gym
  • Implement Q-Learning for grid-world robot navigation
  • Object recognition with pre-trained CNN models (TensorFlow/PyTorch)

Module 12: Advanced Robotics & Capstone
  • Swarm Robotics & Multi-Agent Systems
  • Humanoid Robotics (Balance, Gait Control)
  • Soft Robotics & Bio-inspired Robotics
  • Future Trends in Robotics (Edge AI, Cloud Robotics, Cobots)

LAB 12
  • Swarm robot simulation in Webots
  • Humanoid balance simulation in Gazebo
  • Capstone Project: Self-driving car in CARLA simulator OR Drone delivery system simulation


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.

Reviews

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    Mansi Manjrekar

    Avanteia offers the best Robotics courses in Goa! I enrolled for Level 2 and learned so much with hands-on practice. Highly recommend for students and hobbyists.

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    Barkelo Gaonkar

    Robotics Level 2 is advanced yet structured. I loved the hands-on projects with ROS, SLAM, drones, and AI. Highly recommended!

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    Tanraj Simones

    Level 2 Robotics covers advanced concepts with practical implementation. Trainers are amazing, and learning is very hands-on.

🛣️ Robotics Roadmap (Level 2)

Advanced robotics: ROS/ROS2, computer vision, SLAM, manipulation, drones, AI/ML for robotics, and a capstone project.

1
Step 1
🚀

Robotics Level 02

Master advanced robotics topics such as SLAM, robotic manipulation, drones, machine learning for robotics, and end-to-end capstone projects.

2
Step 2
🧑‍💻

Internship

Gain hands-on experience on complex robotics projects during a free 1-year internship.

1 Year
FREE
3
Step 3
📝

Mini Project

Work on capstone projects showcasing your expertise in robotics systems and applications.

6 Months
4
Step 4
💼

Expected Jobs

Advance toward senior roles such as Robotics Architect, AI Robotics Engineer, Autonomous Systems Engineer, and Research Scientist.

Robotics Architect
AI Robotics Engineer
Autonomous Systems Engineer
Research Scientist
Robotics Project Lead
🎯

🏆 Career Destinations

Entry-level (India)
₹5–10 LPA
Mid-level (India)
₹12–22 LPA
Senior-level (India)
₹28–50 LPA+
🌎 Global Roles
$70,000–$140,000