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Course Outline
Introduction to Generative AI in Robotics
- Exploring the fundamentals of Generative AI
- Key principles of robotics and automation
- An overview of AI-powered robotic systems
Designing Robots with AI
- Generative workflows for robotic design
- Simulating and virtually testing robotic models
- Real-world examples of generative robotics
AI for Robotic Perception and Decision-Making
- Processing sensory data through AI
- Applying machine learning to robotic intelligence
- Practical workshop: Coding AI for robotic decisions
Robotics in Manufacturing and Industrial Sectors
- Integrating AI and automation in industrial environments
- Collaborative robots (cobots) and interactions with humans
- Assessing the effect of AI robotics on staff and output
AI Robotics in Service and Medical Fields
- Service robots in retail, hospitality, and client support
- AI-based robots in healthcare and support for independent living
- Ethical aspects of service-oriented robotics
Challenges and Future Trajectories
- Tackling technical and moral hurdles in AI robotics
- The evolving role of robotics in society
- Readiness for the upcoming generation of AI progress in robotics
Capstone Project
- Developing an AI-based robotic solution for a practical issue
- Building and evaluating the robotic prototype
- In-depth review and critique
Recap and Future Recommendations
Requirements
- A solid grasp of robotics basics
- Proficiency in programming with Python or C++
- Knowledge of fundamental AI principles
Intended 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
