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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages
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AI in Robotics and Automation
( 25 Modules )

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


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