Robotics

Module 1: Introduction to Robotics

• Overview of Robotics

  • Definition and Importance of Robotics
  • History and Evolution of Robotics
  • Applications in Various Industries

• Basic Concepts

  • Types of Robots: Industrial, Service, Humanoid, Autonomous
  • Key Components of Robots: Sensors, Actuators, Control Systems

Module 2: Robot Kinematics

• Kinematic Chains and Links

  • Definitions and Terminology
  • Degrees of Freedom (DOF)

• Forward and Inverse Kinematics

  • Mathematical Models and Equations
  • Applications in Robot Motion Planning

Module 3: Robot Dynamics

• Newton-Euler and Lagrangian Methods

  • Principles of Robot Dynamics
  • Equations of Motion

• Dynamic Modeling of Robots

  • Simulation of Robot Movement
  • Understanding Forces and Torques in Robotics

Module 4: Sensors and Actuators

• Sensors in Robotics

  • Types of Sensors: Proximity, Vision, IMU, Lidar
  • Sensor Fusion Techniques

• Actuators in Robotics

  • Types of Actuators: Electric, Hydraulic, Pneumatic
  • Control of Actuators

Module 5: Robot Control Systems

• Control Theory Fundamentals

  • PID Control and Its Applications
  • State-Space Control

• Robust and Adaptive Control

  • Implementing Control Algorithms in Robotics
  • Handling Uncertainty and Variability

Module 6: Robot Programming and Simulation

• Programming Languages for Robotics

  • Introduction to ROS (Robot Operating System)
  • Basics of C++, Python, and MATLAB for Robotics

• Simulation Tools

  • Using Gazebo, V-REP, or Webots for Robot Simulation
  • Developing and Testing Robotic Algorithms

Module 7: Autonomous Robotics

• Autonomous Navigation

  • Path Planning Algorithms (A*, Dijkstra’s)
  • SLAM (Simultaneous Localization and Mapping)

• Artificial Intelligence in Robotics

  • Machine Learning Techniques for Robotics
  • Perception and Decision-Making in Robots

Module 8: Human-Robot Interaction

• Collaboration and Safety

  • Designing Collaborative Robots (Cobots)
  • Safety Standards and Guidelines

• User Interfaces and Communication

  • Developing Intuitive User Interfaces
  • Natural Language Processing in Robotics

Module 9: Advanced Topics in Robotics

• Emerging Technologies

  • Swarm Robotics and Distributed Systems
  • Robotics in Healthcare and Rehabilitation

• Ethics and Social Implications

  • Ethical Considerations in Robotics
  • The Future of Robotics in Society

Module 10: Capstone Project

• Practical Application of Robotics Knowledge
  • Design and Build a Robot for a Specific Task
  • Presentation and Defense of the Project

Assessment:

• Quizzes and Assignments: Regular assessments to evaluate understanding of theoretical concepts
• Hands-on Labs: Practical exercises in programming and building robots
• Final Capstone Project: A comprehensive project demonstrating knowledge and skills in robotics