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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Advanced Robotics Programming with Python
( 24 Modules )

Module #1
Introduction to Advanced Robotics
Overview of robotics, importance of programming, and introduction to Python for robotics
Module #2
Python Fundamentals for Robotics
Review of Python basics, data types, control structures, functions, and object-oriented programming
Module #3
Robot Operating System (ROS) Essentials
Introduction to ROS, its architecture, and basic concepts such as nodes, topics, and services
Module #4
ROS Python Client Library (rospy)
Using rospy to create Python nodes, publish and subscribe to topics, and call services
Module #5
Sensors and Perception
Introduction to sensor types, sensor models, and perception techniques for robotics
Module #6
Camera and Computer Vision
Using OpenCV and Python to process camera images, detect objects, and track motion
Module #7
Lidar and Point Cloud Processing
Using Lidar sensors, processing point clouds, and applying filters and transformations
Module #8
Motion Planning and Control
Introduction to motion planning, trajectory generation, and control algorithms for robotics
Module #9
Kinematics and Dynamics
Understanding kinematics, dynamics, and forward-inverse kinematics for robotic arms and mobile robots
Module #10
Robot Arm Control and Manipulation
Using MoveIt! and Python to control and manipulate robot arms, and perform pick-and-place tasks
Module #11
Mobile Robotics
Introduction to mobile robotics, navigation, and localization techniques
Module #12
SLAM (Simultaneous Localization and Mapping)
Using SLAM algorithms and libraries such as Gmapping and Cartographer to build maps and localize robots
Module #13
Human-Robot Interaction
Designing and implementing human-robot interaction using speech recognition, natural language processing, and computer vision
Module #14
Machine Learning for Robotics
Introduction to machine learning, deep learning, and their applications in robotics
Module #15
Reinforcement Learning for Robotics
Using reinforcement learning to train robots to perform complex tasks and make decisions
Module #16
Robotics Simulation and Emulation
Using simulation tools such as Gazebo and V-REP to test and validate robotics algorithms
Module #17
Robotics Project Development
Guided project development, debugging, and troubleshooting for robotics projects
Module #18
Robotics System Integration
Integrating robotics components, debugging, and testing robotics systems
Module #19
Robotics Security and Safety
Ensuring safety and security in robotics systems, threat analysis, and risk mitigation
Module #20
Robotics for Specific Domains
Exploring robotics applications in domains such as healthcare, logistics, and agriculture
Module #21
Advanced Topics in Robotics
Exploring cutting-edge topics in robotics such as swarm robotics, aerial robotics, and soft robotics
Module #22
Robotics Research and Development
Introduction to research and development in robotics, reading research papers, and implementing research projects
Module #23
Robotics Project Showcase
Showcasing student robotics projects, providing feedback, and discussing future development
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Robotics Programming with Python career


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