Module #1 Introduction to AI in Robotics and Automation Overview of the course and importance of AI in robotics and automation
Module #2 History of Robotics and Automation Evolution of robotics and automation, key milestones, and importance of AI integration
Module #3 AI Fundamentals for Robotics Basic concepts of artificial intelligence, machine learning, and deep learning relevant to robotics
Module #4 Robotics Fundamentals Overview of robotics, types of robots, and robot components
Module #5 Sensor Systems in Robotics Types of sensors used in robotics, sensor fusion, and data processing
Module #6 Introduction to Machine Learning for Robotics Supervised, unsupervised, and reinforcement learning, and their applications in robotics
Module #7 Computer Vision for Robotics Image processing, object recognition, and computer vision techniques for robotics
Module #8 Motion Planning and Control Algorithms and techniques for motion planning and control in robotics
Module #9 Robot Operating System (ROS) Overview of ROS, its components, and its role in robotics development
Module #10 AI-Powered Robot Navigation AI-based navigation techniques, including SLAM, obstacle avoidance, and path planning
Module #11 Manipulation and Grasping AI-powered manipulation and grasping techniques, including object recognition and pose estimation
Module #12 Human-Robot Interaction (HRI) Designing and developing human-robot interaction systems using AI and machine learning
Module #13 Robot Learning from Demonstration (RLfD) Teaching robots new skills through demonstration and AI-based learning
Module #14 Reinforcement Learning for Robotics Applying reinforcement learning to robotic tasks, including exploration and exploitation
Module #15 Deep Learning for Robotics Applications of deep learning in robotics, including perception, control, and decision-making
Module #16 AI for Robot Perception AI-powered perception techniques, including object detection, tracking, and recognition
Module #17 Robot Autonomy and Decision-Making AI-based decision-making techniques, including autonomy, planning, and control
Module #18 Robotics and Automation in Industry Applications of AI in robotics and automation in various industries, including manufacturing and logistics
Module #19 Service Robotics and AI AI-powered service robots, including humanoid robots, and their applications in healthcare, retail, and more
Module #20 AI Ethics and Safety in Robotics Ethical considerations, safety protocols, and regulations in AI-powered robotics and automation
Module #21 Robotics and Automation in Agriculture Applications of AI in robotics and automation in agriculture, including autonomous farming and precision agriculture
Module #22 Robotics and Automation in Healthcare AI-powered robots in healthcare, including robotic surgery, rehabilitation, and patient care
Module #23 Robotics and Automation in Transportation AI-powered robots in transportation, including autonomous vehicles, drones, and logistics
Module #24 Future of AI in Robotics and Automation Trends, challenges, and opportunities in AI-powered robotics and automation
Module #25 Course Wrap-Up & Conclusion Planning next steps in AI in Robotics and Automation career
