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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
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt