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
