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Course Outline
Introduction to Generative AI in Robotics <\/p>
- Understanding Generative AI <\/li>
- Core concepts in robotics and automation <\/li>
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Overview of AI-driven robotic systems
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Designing AI-Generated Robots <\/p>
- Generative design processes for robotics <\/li>
- Simulation and virtual testing of robotic models <\/li>
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Case studies of generative robotics in action
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AI in Robotic Perception and Decision-Making <\/p>
- Sensory data processing with AI <\/li>
- Machine learning for robotic cognition <\/li>
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Workshop: Programming AI for robotic decision-making
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Robotics in Manufacturing and Industry <\/p>
- Automation and AI in industrial settings <\/li>
- Collaborative robots (cobots) and human-robot interaction <\/li>
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Impact assessment of AI robotics on workforce and productivity
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AI Robotics in Service and Healthcare <\/p>
- Service robots in retail, hospitality, and customer service <\/li>
- AI-driven robots in healthcare and assisted living <\/li>
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Ethical considerations in service robotics
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Challenges and Future Directions <\/p>
- Addressing technical and ethical challenges in AI robotics <\/li>
- The future landscape of robotics in society <\/li>
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Preparing for the next wave of AI advancements in robotics
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Capstone Project <\/p>
- Designing an AI-driven robotic solution for a real-world problem <\/li>
- Implementing and testing the robotic prototype <\/li>
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Critical analysis and feedback
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Summary and Next Steps <\/p>
Requirements
- A solid understanding of robotics fundamentals <\/li>
- Programming experience in Python or C++ <\/li>
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Familiarity with foundational AI concepts
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Target Audience<\/strong> <\/p>
- Robotics engineers <\/li>
- AI researchers <\/li> <\/ul>
28 Hours
Testimonials (1)
Trainer was very knowledgeable and easy to speak to
