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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 ecosystems.

Engineering AI-Generated Robots

  • Generative design workflows for robotics.
  • Simulating and virtually testing robotic models.
  • Examining case studies of generative robotics in practice.

AI in Robotic Perception and Decision-Making

  • Processing sensory data through AI.
  • Utilizing machine learning for robotic cognition.
  • 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.
  • Assessing the effect of AI robotics on workforce dynamics and productivity.

AI Robotics in Service and Healthcare

  • Deploying service robots in retail, hospitality, and customer support.
  • AI-driven robots in healthcare and assisted living contexts.
  • Ethical dimensions of service robotics.

Challenges and Future Trajectories

  • Tackling technical and ethical challenges in AI robotics.
  • Forecasting the future 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 a robotic prototype.
  • Conducting critical analysis and receiving feedback.

Conclusion and Pathways Ahead

Requirements

  • A solid foundation in robotics fundamentals.
  • Proficiency in programming with either Python or C++.
  • Familiarity with foundational AI concepts.

Target Audience

  • Robotics engineers.
  • AI researchers.

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