Course Outline

Introduction to Generative AI in Robotics

  • Understanding Generative AI
  • Core concepts in robotics and automation
  • Overview of AI-driven robotic systems

Designing AI-Generated Robots

  • Generative design processes for robotics
  • Simulation and virtual testing of robotic models
  • Case studies of generative robotics in action

AI in Robotic Perception and Decision-Making

  • Sensory data processing with AI
  • Machine learning for robotic cognition
  • Workshop: Programming AI for robotic decision-making

Robotics in Manufacturing and Industry

  • Automation and AI in industrial settings
  • Collaborative robots (cobots) and human-robot interaction
  • Impact assessment of AI robotics on workforce and productivity

AI Robotics in Service and Healthcare

  • Service robots in retail, hospitality, and customer service
  • AI-driven robots in healthcare and assisted living
  • Ethical considerations in service robotics

Challenges and Future Directions

  • Addressing technical and ethical challenges in AI robotics
  • The future landscape of robotics in society
  • Preparing for the next wave of AI advancements in robotics

Capstone Project

  • Designing an AI-driven robotic solution for a real-world problem
  • Implementing and testing the robotic prototype
  • Critical analysis and feedback

Summary and Next Steps

Requirements

  • An understanding of robotics fundamentals
  • Experience with programming in Python or C++
  • Familiarity with basic AI concepts

Audience

  • Robotics engineers
  • AI researchers
 28 Hours

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