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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 showcasing generative robotics in practice.
AI in Robotic Perception and Decision-Making
- Processing sensory data with AI.
- Applying machine learning to robotic cognition.
- Workshop: Programming AI for robotic decision-making.
Robotics in Manufacturing and Industry
- Automation and AI integration in industrial environments.
- Collaborative robots (cobots) and human-robot interaction.
- Assessing the impact of AI robotics on workforce dynamics and productivity.
AI Robotics in Service and Healthcare
- Service robots utilized in retail, hospitality, and customer service.
- AI-driven robots in healthcare and assisted living facilities.
- Ethical considerations in service robotics.
Challenges and Future Directions
- Tackling technical and ethical challenges in AI robotics.
- The evolving 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
- A solid understanding of robotics fundamentals.
- Programming experience in Python or C++.
- Familiarity with foundational AI concepts.
Audience
- Robotics engineers.
- AI researchers.
28 Hours
Testimonials (2)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The trainer was well prepared and had great examples.
