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
