Module #1 Introduction to Cognitive Robotics Overview of cognitive robotics, its importance, and applications
Module #2 Robotics Fundamentals Review of robotics basics, including sensors, actuators, and motion planning
Module #3 Artificial Intelligence in Robotics Introduction to AI in robotics, including machine learning, computer vision, and natural language processing
Module #4 Machine Learning Basics Overview of machine learning, including supervised, unsupervised, and reinforcement learning
Module #5 Python for Robotics and ML Introduction to Python programming for robotics and machine learning applications
Module #6 Robot Operating System (ROS) Overview of ROS, a widely-used framework for building robot applications
Module #7 Sensor Processing and Fusion Sensor processing and fusion techniques for cognitive robotics
Module #8 Computer Vision Fundamentals Introduction to computer vision, including image processing, feature extraction, and object recognition
Module #9 Deep Learning for Computer Vision Deep learning techniques for computer vision, including convolutional neural networks (CNNs)
Module #10 Object Detection and Tracking Techniques for object detection and tracking, including YOLO, SSD, and Kalman filters
Module #11 Natural Language Processing Introduction to NLP, including text processing, sentiment analysis, and dialogue systems
Module #12 Robot Learning from Demonstration Techniques for robot learning from human demonstration, including LfD and apprenticeship learning
Module #13 Reinforcement Learning Introduction to reinforcement learning, including Q-learning, SARSA, and Deep Q-Networks
Module #14 Robot Control and Motion Planning Advanced topics in robot control and motion planning, including model predictive control and sampling-based methods
Module #15 Human-Robot Interaction Designing effective human-robot interaction, including human-centered design and social robots
Module #16 Robotics and AI in Healthcare Applications of AI and robotics in healthcare, including robotic surgery and assistive robots
Module #17 Robotics and AI in Manufacturing Applications of AI and robotics in manufacturing, including industrial robots and supply chain management
Module #18 Robotics and AI in Autonomous Systems Applications of AI and robotics in autonomous systems, including self-driving cars and drones
Module #19 Ethics and Societal Impact of AI in Robotics Ethical considerations and societal impact of AI in robotics, including transparency, accountability, and fairness
Module #20 Current Research and Trends in Cognitive Robotics Overview of current research and trends in cognitive robotics, including future directions and challenges
Module #21 Project Development and Implementation Guided project development and implementation, including project planning, design, and testing
Module #22 Debugging and Troubleshooting Debugging and troubleshooting techniques for robotics and machine learning applications
Module #23 Advanced Topics in Machine Learning Advanced topics in machine learning, including transfer learning, attention mechanisms, and graph neural networks
Module #24 Advanced Topics in Cognitive Robotics Advanced topics in cognitive robotics, including cognitive architectures, intention recognition, and human-robot collaboration
Module #25 Course Wrap-Up & Conclusion Planning next steps in AI and Machine Learning in Cognitive Robotics career
