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Course Outline

Fundamentals of Generative AI in Robotics

  • Exploring the nature of Generative AI
  • Key principles in robotics and automation
  • Broad overview of AI-powered robotic systems

Creating AI-Generated Robots

  • Generative design workflows for robotics
  • Simulating and virtually testing robotic models
  • Examining real-world examples of generative robotics

AI for Robotic Perception and Decision Processes

  • Processing sensory data through AI
  • Applying machine learning to robotic cognition
  • Workshop: Coding AI for robotic decision logic

Robotics in Manufacturing and Industry

  • Integrating automation and AI in industrial environments
  • Collaborative robots (cobots) and human-machine interaction
  • Analyzing the effect of AI robotics on labor and output

AI Robotics in Services and Healthcare

  • Service robotics in retail, hospitality, and client support
  • AI-powered robots in medical care and assisted living
  • Ethical frameworks for service robotics

Obstacles and Future Trajectories

  • Resolving technical and ethical hurdles in AI robotics
  • Predicting the role of robotics in society
  • Preparing for upcoming AI breakthroughs in robotics

Capstone Project

  • Developing an AI-driven robotic solution for a practical issue
  • Building and testing the robotic prototype
  • Critical review and peer feedback

Recap and Path Forward

Requirements

  • Solid foundation in robotics fundamentals
  • Proficiency in Python or C++ programming
  • Basic knowledge of artificial intelligence concepts

Target Audience

  • Robotics engineers
  • AI researchers
 28 Hours

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