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Course Outline
Fundamentals of Generative AI in Robotics
- Exploring the nature of Generative AI
- Key principles in robotics and automation
- Broad overview of AI-powered robotic systems
Creating AI-Generated Robots
- Generative design workflows for robotics
- Simulating and virtually testing robotic models
- Examining real-world examples of generative robotics
AI for Robotic Perception and Decision Processes
- Processing sensory data through AI
- Applying machine learning to robotic cognition
- Workshop: Coding AI for robotic decision logic
Robotics in Manufacturing and Industry
- Integrating automation and AI in industrial environments
- Collaborative robots (cobots) and human-machine interaction
- Analyzing the effect of AI robotics on labor and output
AI Robotics in Services and Healthcare
- Service robotics in retail, hospitality, and client support
- AI-powered robots in medical care and assisted living
- Ethical frameworks for service robotics
Obstacles and Future Trajectories
- Resolving technical and ethical hurdles in AI robotics
- Predicting the role of robotics in society
- Preparing for upcoming AI breakthroughs in robotics
Capstone Project
- Developing an AI-driven robotic solution for a practical issue
- Building and testing the robotic prototype
- Critical review and peer feedback
Recap and Path Forward
Requirements
- Solid foundation in robotics fundamentals
- Proficiency in Python or C++ programming
- Basic knowledge of artificial intelligence concepts
Target Audience
- Robotics engineers
- AI researchers
28 Hours
Testimonials (2)
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