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 Duration 28 hours

Course Outline

Introduction to Generative AI in Robotics

  • Exploring the fundamentals of Generative AI
  • Key concepts in robotics and automation
  • An overview of AI-driven robotic systems

Designing Robots with AI

  • Generative design workflows for robotics
  • Simulation and virtual validation of robotic models
  • Real-world case studies of generative robotics

AI in Robotic Perception and Decision-Making

  • Processing sensory data with AI
  • Applying machine learning to robotic cognition
  • Practical workshop: Coding AI for robotic decision-making

Robotics in Manufacturing and Industry

  • Integrating automation and AI in industrial environments
  • Collaborative robots (cobots) and human-robot interaction
  • Evaluating the impact of AI robotics on workforce and productivity

AI Robotics in Services and Healthcare

  • Service robots in retail, hospitality, and customer support
  • AI-powered robots in healthcare and assisted living
  • Ethical frameworks for service robotics

Challenges and Future Trajectories

  • Overcoming technical and ethical hurdles in AI robotics
  • The evolving role of robotics in society
  • Preparing for the next generation of AI advancements in robotics

Capstone Project

  • Developing an AI-driven robotic solution for a real-world challenge
  • Building and testing the robotic prototype
  • Critical review and peer feedback

Conclusion and Path Forward

Requirements

  • A solid grounding in robotics fundamentals
  • Proficiency in programming with Python or C++
  • Working knowledge of basic AI concepts

Audience

  • Robotics engineers
  • AI researchers

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