1. Introduction to Robotics

• 1.1 What is Robotics? – Overview & Real-world Applications
  • Hands-On: Research and review three real-world robot use cases.
• 1.2 Types of Robots – Industrial, Mobile, Autonomous, Humanoid
  • Hands-On: Watch videos demonstrating each robot type and write a short comparison.
• 1.3 Robotics Engineering: Core Disciplines
  • Mechanical, Electrical, Software Engineering
• 1.4 History & Evolution of Robotics

2. Fundamental Robotics Concepts

• 2.1 Kinematics: Understanding Robot Motion
  • Forward Kinematics, Inverse Kinematics
  • Hands-On: Calculate the forward kinematics for a basic 2-DOF robotic arm.
• 2.2 Dynamics: Forces & Torques in Robots
  • Newton-Euler Equations
  • Hands-On: Use a simulation tool to observe forces and torques on a robotic joint.
• 2.3 Actuators & Motors
  • Types: DC Motors, Stepper Motors, Servos
  • Hands-On: Build a simple motor control circuit using Arduino and a DC motor.
• 2.4 Sensors in Robotics
  • Proximity Sensors, Ultrasonic Sensors, LiDAR, Cameras
  • Hands-On: Set up an ultrasonic sensor to measure distance using Arduino.
• 2.5 Basic Control Systems
  • Open-Loop vs. Closed-Loop Control
  • Hands-On: Implement a simple closed-loop system using a potentiometer and an LED.
• 2.6 Introduction to Programming Robots
  • Using Python, C++, and ROS (Robot Operating System)

3. Robot Design & Construction

• 3.1 Mechanical Design Principles
  • Joints, Links, End Effectors
• 3.2 Electrical Systems in Robotics
  • Wiring, Power Distribution, Circuit Design
• 3.3 Microcontrollers & Hardware Platforms
  • Arduino, Raspberry Pi, ESP32
  • Hands-On: Build a basic robot chassis and control it with a microcontroller.
• 3.4 CAD for Robotics
  • Designing Robot Parts using CAD Software (SolidWorks, AutoCAD)
  • Hands-On: Design a simple robotic gripper using CAD software.

4. Programming for Robotics

• 4.1 Python for Robotics
  • Basic Syntax, Libraries (OpenCV, Numpy)
  • Hands-On: Write a Python script to control a robot’s movement.
• 4.2 C++ for Robotics
  • Advanced Control Algorithms, ROS Integration
• 4.3 Robot Operating System (ROS)
  • ROS Basics, Nodes, Topics, Messages, Services
  • Hands-On: Create a ROS node to control a simulated robot in Gazebo.
• 4.4 Simulating Robots with Gazebo
  • Setting Up Virtual Environments, Running Simulations

5. Advanced Control Systems in Robotics

• 5.1 PID Controllers (Proportional-Integral-Derivative)
  • Concepts, Implementation, and Tuning
  • Hands-On: Implement a PID controller to balance a virtual inverted pendulum.
• 5.2 Adaptive Control Systems
  • Learning-Based Control, Self-tuning Controllers
• 5.3 Motion Planning Algorithms
  • Path Planning, Trajectory Generation, Obstacle Avoidance
  • Hands-On: Implement a basic A* pathfinding algorithm on a simulated grid.
• 5.4 SLAM (Simultaneous Localization and Mapping)
  • Techniques: EKF-SLAM, Graph-Based SLAM
  • Hands-On: Use ROS to implement a simple SLAM solution with a virtual robot.

6. AI & Machine Learning for Robotics

• 6.1 Introduction to AI in Robotics
• 6.2 Deep Learning for Perception
  • Image Classification, Object Detection, Semantic Segmentation
  • Hands-On: Train a basic CNN model to recognize objects from a video feed.
• 6.3 Reinforcement Learning for Robot Control
  • Q-Learning, Deep Q-Networks (DQN)
  • Hands-On: Implement a Q-Learning algorithm for a virtual robot to find an optimal path.
• 6.4 Natural Language Processing in Robotics
  • Voice Commands, Text-Based Instructions
• 6.5 Autonomous Navigation Systems
  • Building Self-Driving Robot Systems

7. Robot Vision & Perception

• 7.1 Computer Vision Basics for Robotics
  • Image Processing, Feature Detection, and Matching
  • Hands-On: Implement edge detection using OpenCV and a camera feed.
• 7.2 3D Perception Techniques
  • Stereo Vision, LiDAR Data Processing, Point Clouds
• 7.3 Visual SLAM
  • ORB-SLAM, LSD-SLAM, RTAB-Map
  • Hands-On: Use ORB-SLAM to build a map with a camera feed in a simulation environment.

8. Specialized Robotics Topics for Job Preparation

• 8.1 Collaborative Robots (Cobots)
• 8.2 Humanoid Robotics
• 8.3 Robotics in Industrial Automation
  • Applications in Manufacturing, Logistics, Warehouse Automation
• 8.4 Swarm Robotics
  • Multi-Robot Coordination, Distributed Algorithms
  • Hands-On: Simulate simple swarm behavior in a virtual environment.
• 8.5 Ethical & Legal Aspects of Robotics

9. Real-World Robotics Projects & Case Studies

• 9.1 Building an Obstacle-Avoiding Robot
  • Hands-On: Assemble and program an obstacle-avoiding robot using an ultrasonic sensor and microcontroller.
• 9.2 Creating a Line-Following Robot
  • Hands-On: Build and program a line-following robot with IR sensors.
• 9.3 Designing a Robotic Arm for Pick-and-Place Tasks
  • Hands-On: Create and control a simple pick-and-place robotic arm using servos.
• 9.4 Developing an Autonomous Drone
• 9.5 Implementing a SLAM-Based Mapping Robot

10. Interview Preparation & Mock Tests

• 10.1 Top Robotics Interview Questions
• 10.2 Solving Robotics Problems in C++, Python, ROS
• 10.3 Mock Interview Problems & Solutions
• 10.4 Building a Robotics Portfolio for Job Applications
• 10.5 Resume & Interview Tips for Robotics Roles in MNCs

11. Learning Resources & Next Steps

• 11.1 Recommended Practice Platforms
  • Robot Ignite Academy, Coursera, Udacity, ROS Tutorials
• 11.2 Top Robotics Books & Courses
• 11.3 Career Paths in Robotics