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Robotics and Automation

Robotics and automation are rapidly transforming industries worldwide, revolutionizing processes, and improving efficiency, precision, and safety. This course introduces learners to the fundamental principles, tools, and technologies behind robotics and automation. It covers the theoretical aspects of robotics and automation, followed by hands-on experience in designing, building, and programming robots, as well as deploying automated systems in real-world settings.

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Program learning outcomes and content

WHAT WILL I LEARN

Program Aim

This program aims to provide learners with a comprehensive understanding of robotics and automation, equipping them with the necessary skills to design, develop, and implement robotic systems and automation solutions across various industries. By the end of the program, learners will be able to work on automation projects, optimize robotic systems, and apply their knowledge in diverse sectors such as manufacturing, logistics, healthcare, and more.

Modules Covered

  • Overview of robotics and automation
  • Historical development and future trends
  • Applications in various industries
  • Key concepts: robot, automation system, sensors, actuators, and controllers
  • Basic mechanical components of a robot (arms, grippers, wheels)
  • Material selection for robotics
  • Kinematics and dynamics in robotics
  • Introduction to CAD (Computer-Aided Design) tools
  • Basic electronic components (microcontrollers, sensors, actuators)
  • Types of sensors used in robotics (proximity, vision, force, etc.)
  • Circuit design for robotic systems
  • Introduction to signal processing
  • Basics of programming languages used in robotics (e.g., Python, C++)
  • Introduction to robot programming and simulation software (e.g., ROS, VEX)
  • Control structures: loops, conditions, functions, and libraries
  • Programming robots to perform simple tasks
  • Introduction to control theory and systems
  • PID (Proportional-Integral-Derivative) control for robots
  • Sensor feedback and robot motion control
  • Autonomous vs. manual control systems
  • Robot arm and end-effector design
  • Motion planning algorithms (e.g., path planning, trajectory planning)
  • Inverse kinematics and forward kinematics
  • Robot arm control and manipulation tasks
  • Introduction to industrial automation
  • Role of robots in manufacturing and assembly lines
  • Industrial robot types (SCARA, articulated, delta, etc.)
  • Integration of robots in automated systems
  • Basics of machine vision and image processing
  • Computer vision techniques for object recognition and tracking
  • Introduction to Artificial Intelligence in robotics (AI, deep learning)
  • Implementing AI algorithms for robot decision-making
  • Autonomous robots and vehicles
  • SLAM (Simultaneous Localization and Mapping) technology
  • Robotics in drones and autonomous vehicles
  • Sensor fusion for autonomous navigation
  • Human-robot collaboration and safety protocols
  • Ethical issues in robotics and automation
  • Impact of robotics on the workforce and society
  • Designing robots for human interaction
  • Integrating different robotic systems into a cohesive solution
  • Robotics project management principles
  • Troubleshooting and maintenance of robotic systems
  • Case studies of successful robotic implementations
  • Emerging technologies (Quantum computing, AI, IoT in robotics)
  • The future of autonomous robots in healthcare, agriculture, and logistics
  • Sustainable and eco-friendly robotics
  • Preparing for the next generation of robotic systems
  • Introduction to data visualization tools (Power BI, Tableau).
  • Best practices for creating clear, actionable reports.
  • Customizing dashboards for different departments

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