Program Curriculum

• Module 1

  Foundations of Robotics

  • Introduction to robotics terminology, concepts, and historical evolution.
  • Understanding kinematics, dynamics, and control systems in robotic platforms.
  • Exploration of sensors, actuators, and communication systems in robotics.
• Module 2

  Artificial Intelligence Fundamentals

  • Overview of AI, machine learning, and deep learning concepts.
  • Understanding algorithms, data structures, and optimization techniques in AI.
  • Applications of AI in various industries, including healthcare, finance, and manufacturing.
• Module 3

  Integration of Robotics and AI

  • Examining the synergy between robotics and AI for intelligent automation.
  • Hands-on projects incorporating machine learning in robotic systems.
  • Case studies of successful applications, such as autonomous vehicles and robotic process automation.
• Module 4

  Machine Vision and Perception

  • Introduction to computer vision and its role in robotics.
  • Image processing techniques for object recognition and tracking.
  • Integration of perception systems for enhancing robotic decision-making.
• Module 5

  Robotics Programming

  • Practical coding exercises using popular robotics programming languages.
  • Implementation of algorithms for path planning, obstacle avoidance, and localization.
  • Development of control algorithms for robotic manipulators
• Module 6

  Ethical and Social Implications

  • Exploration of ethical considerations in AI and robotics.
  • Discussion on societal impact, biases, and responsible AI development.
  • Case studies on ethical challenges and their resolution in real-world scenarios.
• Module 7

  Capstone Project

  • Collaborative development of a robotics project incorporating AI principles.
  • Application of learned concepts to address a real-world problem.
  • Project presentation and peer evaluation