Module #1 Introduction to AI in Robotics Overview of AI in robotics, its applications, and importance
Module #2 Robotics Fundamentals Basics of robotics, types of robots, and robotic systems
Module #3 AI and Machine Learning Basics Introduction to AI, machine learning, and deep learning concepts
Module #4 Robot Perception and Sensing Sensors and perception systems in robots, including computer vision and lidar
Module #5 Robot Motion Planning and Control Planning and control of robotic movements, including kinematics and dynamics
Module #6 Machine Learning in Robotics Applying machine learning algorithms to robotics problems, including classification and regression
Module #7 Deep Learning in Robotics Applying deep learning algorithms to robotics problems, including CNNs and RNNs
Module #8 Robot Navigation and Localization Navigation and localization techniques for robots, including SLAM and mapping
Module #9 Human-Robot Interaction Designing robots that can interact with humans, including natural language processing and computer vision
Module #10 Robot Learning from Demonstration Teaching robots new skills through demonstration and imitation learning
Module #11 Reinforcement Learning in Robotics Applying reinforcement learning to robotics problems, including Q-learning and policy gradients
Module #12 Robot Grasping and Manipulation Grasping and manipulation techniques for robots, including object recognition and pose estimation
Module #13 Swarm Robotics and Multi-Agent Systems Designing and coordinating multiple robots to work together, including swarm intelligence and distributed control
Module #14 Robotics and AI for Social Good Applying AI and robotics to social good applications, including healthcare, education, and environmental monitoring
Module #15 AI for Robot Vision Applying AI to robot vision tasks, including object detection and scene understanding
Module #16 Robotics and AI for Industrial Applications Applying AI and robotics to industrial applications, including manufacturing, logistics, and supply chain management
Module #17 Robotics and AI for Autonomous Systems Applying AI and robotics to autonomous systems, including self-driving cars and drones
Module #18 Ethics and Societal Impacts of AI in Robotics Ethical considerations and societal implications of AI in robotics, including bias, privacy, and job displacement
Module #19 Robotics and AI for Healthcare Applying AI and robotics to healthcare applications, including robotic surgery and patient care
Module #20 Robotics and AI for Agriculture Applying AI and robotics to agriculture, including autonomous farming and crop monitoring
Module #21 Robotics and AI for Disaster Response and Recovery Applying AI and robotics to disaster response and recovery, including search and rescue and environmental monitoring
Module #22 Robotics and AI for Space Exploration Applying AI and robotics to space exploration, including autonomous spacecraft and planetary rovers
Module #23 Robotics and AI for Education Applying AI and robotics to education, including robot-assisted learning and educational robotics competitions
Module #24 Course Wrap-Up & Conclusion Planning next steps in Artificial Intelligence in Robotics career
