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- Robot Cognition and Learning
- Как роботы учатся профессиям
Curriculum
- 9 Sections
- 40 Lessons
- Lifetime
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- 1. Introduction to Robot Intelligence6
- 1.1HJK1 1.1 From Programming to Learning — The Evolution of Robot Intelligence
- 1.2HJK1 1.2 What Makes a Robot ‘Smart’? Defining Robot Cognition
- 1.3HJK1 1.3 The Robot Brain — Cognitive Architectures Overview
- 1.4HJK1 1.4 How Robots Learn — Learning Paradigms Overview
- 1.5HJK1 1.5 The Professional Robot — From Labs to Real Jobs
- 1.6HJK1 1. Test3 Questions
- 2. Memory Systems for Robots6
- 2.1HJK1 2.1 Why Robots Need Memory
- 2.2HJK1 2.2 Types of Robot Memory — Episodic, Semantic, and Procedural
- 2.3HJK1 2.3 Storing Robot Experiences — Data Structures and Databases
- 2.4HJK1 2.4 Memory Retrieval — How Robots Find Relevant Knowledge
- 2.5HJK1 2.5 Real-World Examples — Memory in Action
- 2.6HJK1 2. Test3 Questions
- 3. Knowledge Representation and Ontologies6
- 4. RAG and Retrieval-Augmented Systems6
- 5. Teaching Robots Professional Skills6
- 6. Transfer Learning and Knowledge Sharing5
- 7. Reasoning, Planning, and Common Sense7
- 8. Careers and the Future of Robot Intelligence6
- 8.1HJK1 8.1 Career Spotlight — Robot Trainer and Behavior Specialist
- 8.2HJK1 8.2 AI Engineer for Robotics — Building Robot Brains
- 8.3HJK1 8.3 Integration Specialist — Deploying Smart Robots
- 8.4HJK1 8.4 Research Frontiers — Open Problems in Robot Cognition
- 8.5HJK1 8.5 Your Learning Path — Next Steps and Resources
- 8.6HJK1 8. Test3 Questions
- HJK1 Final test1
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