Midterm Team Testing

We appreciate your hard work in conducting the training program. To assess your abilities and further enhance teamwork, we will be conducting a midterm team testing. The midterm team testing is divided into <Optional Test>, <Mandatory Test>, and <Advanced Test>. Please refer to the specific instructions for each question and submit your reports in PowerPoint format.

<Optional Test>: In teams, please select one question from each of the following topics (Python 1 question, Depth Camera 1 question, ROS 1 question) and submit reports, totaling 3 questions.
  1. Python

    1. Innovation and Applications of Speech Recognition Technology Using Python: What are the latest developments and practical applications of speech recognition technology using Python?

    2. Educational Value of Robot Programming Using Python: How does using Python help students learn robot programming?

    3. Possibilities of Python in University Education: What are the concrete implementation strategies for Python in university education programs?

    4. Network Programming for 5G Communication with Python: How can Python be used in conjunction with 5G communication for high-speed data transfer and network programming?

    5. Industrial Impact of Combining Python and Artificial Intelligence: What is the current status and impact of combining Python and AI technologies in various industries?

    6. Big Data Analysis and Predictive Modeling with Python: How is Python used for big data analysis and predictive modeling?

    7. Quantitative Investment Outlook with Python in Finance: What are the performance and future trends of quantitative investment strategies using Python in the finance sector?

    8. Sustainable Development Direction of the Python Community: How is the Python community growing sustainably?

  2. Depth Camera

    1. Advancements in Depth Camera Technology and VR/AR: How is Depth Camera technology influencing the development of virtual reality and augmented reality?

    2. Applications of Depth Camera in Robot Vision: How can Depth Camera be used to enhance robot vision and environmental perception?

    3. Enhancing Drone Safety with Depth Camera during Flight: How can Depth Camera be used to improve safety during drone flight?

    4. Relevance and Applications of Depth Camera in the Medical Field: How is Depth Camera technology being utilized in the medical field?

    5. Environmental Perception for Autonomous Vehicles Using Depth Camera: How do autonomous vehicles use Depth Camera to detect their surroundings?

    6. Innovative Applications of Depth Camera in the Construction Industry: How is Depth Camera technology applied in the construction industry?

    7. Relevance of Depth Camera in Military and Security Applications: How is Depth Camera technology applied in military and security sectors?

    8. Potential of Real-Time 3D Scanning Using Depth Camera: How can Depth Camera be used to advance real-time 3D scanning technology?

  3. ROS

    1. Current Status and Future of Autonomous Vehicles Using ROS: What is the current status and future development direction of autonomous vehicles using ROS?

    2. Role of ROS in Smart Factories and Collaborative Robot Production: How is ROS utilized in smart factories and collaborative robot production?

    3. Importance of ROS in Multi-Robot Systems: How do multi-robot systems cooperate using ROS?

    4. Logistics and Warehouse Automation Using ROS: How can ROS be used to implement logistics and warehouse automation?

    5. Future of Agricultural Automation and Smart Farms Using ROS: How can ROS advance agricultural automation and smart farming?

    6. Development of AI-Based Algorithms for Robots Using ROS: How can ROS be used to develop AI algorithms for robots?

    7. Market Trends for ROS as a Robot Operating System: How is ROS evolving as a robot operating system in the market?

    8. Partnership between ROS and the Industrial Robot Manufacturing Industry: How do ROS and the industrial robot manufacturing industry collaborate?

<Mandatory Test>: In teams, please select one question from the following list, ensuring that teams do not choose the same topic, and submit reports.

  1. Python and Quantum Computing: How is Python integrated with quantum computing for scientific and engineering applications, and what innovations are anticipated in machine learning and artificial intelligence?

  2. Robotics and Biomechanics: How are biomechanics principles applied to improve the motion capabilities and efficiency of robots in design and control?

  3. Future Prospects of Depth Camera Art in Entertainment: How does real-time interactive art through Depth Camera create unique interactions between artworks and audiences in the entertainment industry, and what are the future possibilities and innovations in this field?

<Advanced Test>: In teams, please submit a report of at least 5 chapters with diagrams for each of the following topics.
  1. Robot Hardware

    1. AI Robot DIY Kit Hardware Configuration: Divide the AI robot DIY kit into power, control, devices, and propulsion components and provide related explanations.

    2. Components of Intelligent Robots: Divide intelligent robots into motors, robot sensors, control systems, and communication systems, and describe each part.

  2. Introduction to ROS

    1. Explain 5 out of 7 different functions related to robots, such as robot geometry library, robot description language, diagnostic system, sensing, and navigation.

    2. Describe 4 out of 5 sensing and perception libraries used in robotics, such as SLAM, object detection, navigation, and sensor fusion.

    3. Explain why matrix operations are necessary in robotics and where they are applied.

  3. ROS Commands

    1. Explain the 4 communication methods in ROS and provide related code examples.

    2. Describe 10 ROS commands and provide related code examples.