Artificial Intelligence in Robotics
( 24 Modules )

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

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Artificial Intelligence in Robotics ( 24 Modules )

Artificial Intelligence in Robotics
( 24 Modules )