Robotics

Introduction to Robotics

• History of Robotics
• Overview of Robotics Applications
• Ethical and Societal Implications

Robotic Systems and Components

• Basic Concepts and Terminology
• Types of Robots (Industrial, Mobile, Humanoid)
• Components of a Robotic System (Sensors, Actuators, Controllers)

Robotic Kinematics

• Forward and Inverse Kinematics
• Denavit-Hartenberg (DH) Parameters
• Homogeneous Transformation Matrices

Dynamics of Robots

• Newton-Euler Formulations
• Lagrangian Mechanics
• Trajectory Planning

Sensors in Robotics

• Types of Sensors
• Proximity
• Vision
• Touch
• Sensor Calibration and Data Acquisition
• Sensor Fusion Techniques

Actuators and Motors

• Types of Actuators (DC Motors, Servos, Stepper Motors)
• Motor Control and Feedback Systems
• Power Electronics for Robotics

Introduction to Control Systems

• Open-loop and Closed-loop Control
• PID Controllers
• State-Space Representation

Advanced Control Techniques

• Adaptive and Robust Control
• Model Predictive Control (MPC)
• Nonlinear Control Systems

Robot Operating System (ROS)

• ROS Architecture and Basics
• ROS Nodes, Topics, and Services
• Simulation with Gazebo

Robotics Programming

• Programming Languages (Python, C++)
• Writing and Debugging Code for Robots
• Integration with Hardware
• Hardware Description Languages (HDLs)

Computer Vision Basics

• Image Processing Techniques
• Feature Detection and Matching
• Object Recognition and Tracking

Advanced Perception Techniques

• 3D Vision and Depth Sensing
• SLAM (Simultaneous Localization and Mapping)
• Machine Learning for Perception

Introduction to AI and Machine Learning

• Basics of Machine Learning
• Neural Networks and Deep Learning
• AI Algorithms for Robotics

Application of AI in Robotics

• Path Planning and Navigation
• Reinforcement Learning
• Human-Robot Interaction

Robotics Project Development

• Project Proposal and Planning
• Design and Implementation
• Testing and Debugging