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 of generative robotics in action
AI in Robotic Perception and Decision-Making
- Sensory data processing with AI
- Machine learning for robotic cognition
- Workshop: Programming AI for robotic decision-making
Robotics in Manufacturing and Industry
- Automation and AI in industrial settings
- Collaborative robots (cobots) and human-robot interaction
- Impact assessment of AI robotics on workforce and productivity
AI Robotics in Service and Healthcare
- Service robots in retail, hospitality, and customer service
- AI-driven robots in healthcare and assisted living
- Ethical considerations in service robotics
Challenges and Future Directions
- Addressing technical and ethical challenges in AI robotics
- The future 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
- An understanding of robotics fundamentals
- Experience with programming in Python or C++
- Familiarity with basic AI concepts
Audience
- Robotics engineers
- AI researchers
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €9120 online delivery, based on a group of 2 delegates, €2880 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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