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            課程目錄:AI and Robotics for Nuclear培訓
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            Week 01
            Day 01
            Introduction

            What Makes a Robot smart?
            Physical vs Virtual Robots

            Smart Robots, Smart Machines, Sentient Machines and Robotic Process Automation (RPA), etc.
            The Role of Artificial Intelligence (AI) in Robotics

            Beyond "if-then-else" and the learning machine
            The algorithms behind AI
            Machine learning, computer vision, natural language processing (NLP), etc.
            Cognitive robotics
            Day 02
            The Role of Big Data in Robotics

            Decision-making based on data and patterns
            The Cloud and Robotics

            Linking robotics with IT
            Building more functional robots that access more information and collaborate
            Case Study: Industrial Robots

            Mechanical Robots
            Baxter
            Robots in Nuclear Facilities
            Radiation detection and protection
            Robots in Nuclear Reactors
            Radiation detection and protection
            Day 03
            Hardware Components of a Robot

            Motors, sensors, microcontrollers, cameras, etc.
            Common Elements of Robots

            Machine vision, voice recognition, speech synthesis, proximity sensing, pressure sensing, etc.
            Day 04
            Development Frameworks for Programming a Robot

            Open source and commercial frameworks
            Robot Operating System (ROS)
            Architecture: workspace, topics, messages, services, nodes, actionlibs, tools, etc.
            Languages for Programming a Robot

            C++ for low level controlling
            Python for orchestration
            Programming ROS nodes in Python and C ++
            Other languages
            Day 05
            Tools for Simulating a Physical Robot

            Commercial and open source 3D simulation and visualization software
            Tools for Designing the Physical Characteristics of a Robot

            Commercial and open source CAD software
            Case Study: Mechanical Robots

            Robots in the nuclear technology field
            Robots in environmental systems
            Week 02
            Day 06
            Crash Course in Python

            Software installation and setup
            Useful packages and utilities
            Working with Python data structures, operators, loops, conditionals, functions, methods, etc.
            Writing a sample program
            Team project
            Day 07
            Preparing for Robot Development

            Setting up the development environment (e.g., Arduino IDE)
            Exploring the Arduino language (C/C++) syntax
            Coding, compiling, and uploading to the microcontroller
            Assembling the hardware components of an Arduino robot
            Day 08
            Working with Arduino Components

            Analog sensors
            Digital sensors
            Working with Arduino Communication Modules

            Bluetooth Modules
            Wi-Fi Modules
            RFID Modules
            I2C and SPI
            Mobile internet
            Day 09
            Constructing a Robot

            Planning the features and characteristics of a robot
            Implementing robot movement
            Team project

            Discussion and review
            Day 10
            Controlling the Robot

            Implementing the controller
            Connecting to the robot (wired and wirelessly)
            Team Project

            Discussion and review
            Week 03
            Day 11
            Programming the Robot

            Simulating a robot with Gazebo / ROS
            Understanding ROS node
            Programming a node in Python and C ++
            Messages and topics in ROS
            Publication / subscription paradigm
            Team Project

            Bump & Go with real robot
            Discussion and review
            Day 12
            Programming the Robot (continued...)

            Frames in ROS and reference changes
            2D information processing of cameras with OpenCV
            Information processing of a laser
            Team Project

            Safe tracking of objects by color
            Discussion and review
            Day 13
            Testing the Robot

            Tools for testing your code
            Unit testing
            Creating a test suite
            Automating your tests
            Troubleshooting
            Team Project

            Safe tracking of objects by color
            Discussion and review
            Day 14
            Programming the Robot (Continued...)

            Services in ROS
            3D information processing of RGB-D sensors with PCL
            Maps and Navigation with ROS
            Day 15
            Programming the Robot (Continued...)

            Completing tasks with ActionLib
            Team Project

            Search for objects in the environment
            Week 04
            Day 16
            Programming the Robot (Continued...)

            Completing tasks with ActionLib
            Day 17
            Programming the Robot (Continued...)

            Speech Recognition and Speech Generation
            Troubleshooting
            Team Project

            Controlling a robot using voice
            Day 18
            Programming the Robot (Continued...)

            Controlling robotic arms with MoveIt!
            Controlling robotic neck for active vision
            Troubleshooting
            Team Project

            Search and collection of objects
            Day 19
            Deploying the Robot

            Deploying the robot in the physical world
            Monitoring and servicing robots in the field
            Using a mobile app to control a robot
            Securing the Robot

            Preventing unauthorized tampering
            Preventing hackers from viewing and stealing sensitive data
            Day 20
            Data Analytics

            Collecting and organizing data generated by the robot
            Making sense of the data through visualization tools and processes
            Building a Robot Collaboratively

            Building a robot in the cloud
            Building a mobile app to interact with your robot
            Joining the robotics community
            Future Outlook for Robots in the Science and Energy Field

            Summary and Conclusion

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