Cognitive Architectures for Robots
( 30 Modules )

Module #1
Introduction to Cognitive Architectures
Overview of cognitive architectures, their importance in robotics, and course objectives

Module #2
Robotics and Cognition
The intersection of robotics and cognition, and the need for cognitive architectures

Module #3
Cognitive Architecture Types
Overview of different types of cognitive architectures, including symbolic, connectionist, and hybrid approaches

Module #4
Robotics and AI Background
Review of robotics and AI concepts, including sensing, acting, and machine learning

Module #5
Cognitive Architecture Design Principles
Design principles for cognitive architectures, including modularity, scalability, and flexibility

Module #6
Introduction to Symbolic Cognitive Architectures
Overview of symbolic cognitive architectures, including production systems and semantic networks

Module #7
PRODIGY Cognitive Architecture
In-depth look at the PRODIGY cognitive architecture, including its components and applications

Module #8
SOAR Cognitive Architecture
In-depth look at the SOAR cognitive architecture, including its components and applications

Module #9
Symbolic Reasoning and Inference
Symbolic reasoning and inference techniques in cognitive architectures

Module #10
Symbolic Cognitive Architectures for Robotics
Applications of symbolic cognitive architectures in robotics, including task planning and execution

Module #11
Introduction to Connectionist Cognitive Architectures
Overview of connectionist cognitive architectures, including neural networks and deep learning

Module #12
Neural Networks for Robotics
Applications of neural networks in robotics, including sensorimotor control and learning

Module #13
Deep Learning for Robotics
Applications of deep learning in robotics, including object recognition and scene understanding

Module #14
Connectionist Cognitive Architectures for Robotics
Applications of connectionist cognitive architectures in robotics, including control and decision-making

Module #15
Hybrid Approaches
Hybrid approaches that combine symbolic and connectionist methods in cognitive architectures

Module #16
Introduction to Hybrid Cognitive Architectures
Overview of hybrid cognitive architectures that integrate symbolic and connectionist methods

Module #17
Integrated Cognitive Architectures for Robotics
Applications of integrated cognitive architectures in robotics, including human-robot collaboration

Module #18
COGMOD Cognitive Architecture
In-depth look at the COGMOD cognitive architecture, including its components and applications

Module #19
LIDA Cognitive Architecture
In-depth look at the LIDA cognitive architecture, including its components and applications

Module #20
Comparing Hybrid Cognitive Architectures
Comparison of different hybrid cognitive architectures, including their strengths and weaknesses

Module #21
Cognitive Architectures for Autonomous Systems
Applications of cognitive architectures in autonomous systems, including self-driving cars and drones

Module #22
Cognitive Architectures for Human-Robot Interaction
Applications of cognitive architectures in human-robot interaction, including social robotics and assistance

Module #23
Cognitive Architectures for Service Robotics
Applications of cognitive architectures in service robotics, including robotic assistants and autonomous cleaning

Module #24
Cognitive Architectures for Industrial Robotics
Applications of cognitive architectures in industrial robotics, including manufacturing and logistics

Module #25
Case Studies in Cognitive Architectures for Robotics
In-depth case studies of cognitive architectures in robotics, including success stories and lessons learned

Module #26
Future Directions in Cognitive Architectures
Future directions and emerging trends in cognitive architectures, including cognitive computing and explainability

Module #27
Cognitive Architectures for Explainability and Transparency
Applications of cognitive architectures for explainability and transparency in AI systems

Module #28
Cognitive Architectures for Human-Centered AI
Applications of cognitive architectures for human-centered AI, including value alignment and ethics

Module #29
Cognitive Architectures for Edge AI
Applications of cognitive architectures for edge AI, including decentralized and distributed robotics

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Cognitive Architectures for Robots career

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Cognitive Architectures for Robots ( 30 Modules )

Cognitive Architectures for Robots
( 30 Modules )