Robotics course:

Robotics course:

Week 1: Introduction to Robotics

  • History and applications of robotics
  • Types of robots and their components
  • Overview of robotic systems

Week 2: Kinematics

  • Forward and inverse kinematics
  • Denavit-Hartenberg parameters
  • Kinematic chains and transformations

Week 3: Dynamics

  • Newton-Euler formulation
  • Lagrangian mechanics
  • Equations of motion for robotic systems

Week 4: Control of Robotic Systems

  • PID control
  • State-space representation
  • Trajectory planning and control

Week 5: Sensors and Actuators

  • Types of sensors (proximity, vision, force, etc.)
  • Actuators (DC motors, stepper motors, servos)
  • Sensor integration and data acquisition

Week 6: Robot Programming

  • Programming languages for robotics (Python, C++, MATLAB)
  • Robot Operating System (ROS)
  • Simulation tools (Gazebo, V-REP)

Week 7: Mobile Robotics

  • Locomotion and navigation
  • Path planning algorithms
  • SLAM (Simultaneous Localization and Mapping)

Week 8: Industrial Robotics

  • Robot manipulators
  • End effectors and grippers
  • Applications in manufacturing and automation

Week 9: Computer Vision and Image Processing

  • Basics of image processing
  • Feature extraction and object recognition
  • Machine learning in robotics

Week 10: Advanced Topics in Robotics

  • Humanoid robots
  • Swarm robotics
  • Ethical and social implications of robotics

Week 11: Assignments and Projects

  • Practical assignments
  • Group projects and presentations

Week 12: Review and Case Studies

  • Review of key concepts
  • Case studies and real-world applications

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