w18 update

content/articles/w18_prj.md

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+## Project Development: ToGO
 
+### Completed Tasks
+1. **Cube Design and Fabrication**
+   - 3D printed cube enclosures with magnetic covers.
+   - Custom PCBs designed and fabricated using KiCad and Roland SRM-20.
+   - Integration of ESP32-C3 microcontrollers, OLED displays, and WS2812B LEDs.
+
+2. **Board System Assembly**
+   - Construction of the board using 20mm x 20mm Sigma profiles and plexiglass sheets cut with a laser cutter.
+   - Installation of 42 WS2812B LED strips on the board.
+   - Power management for the LED strip and Raspberry Pi with a single on/off power supply.
+   - Vinyl used for matrix creation and design.
+
+3. **Software Development**
+   - Development of the cube control and communication software using Arduino and Python.
+   - Implementation of algorithms such as Dijkstra, A*, BFS, and DFS.
+   - Creation of a web interface for user and admin control using Flask, HTML, CSS, and JavaScript.
+
+4. **Testing and Debugging**
+   - Extensive testing of hardware and software components.
+   - Debugging and optimization of communication protocols and algorithms.
+
+### Remaining Tasks
+1. **Final Integration and Testing**
+   - Ensure seamless interaction between the board and cubes.
+   - Finalize and test the web interface for user and admin control.
+
+2. **Documentation**
+   - Create comprehensive documentation for hardware and software components.
+   - Prepare user manuals and instructional videos.
+
+3. **Final Presentation Preparation**
+   - Develop a presentation for the Fab Academy final project review.
+   - Create a demo video showcasing the project's features and capabilities.
+
+### What Has Worked?
+- The cube designs and magnetic covers have worked well for easy assembly and access.
+- The integration of ESP32-C3 microcontrollers, OLED displays, and WS2812B LEDs has been successful.
+- The board system with LED strips and the Raspberry Pi has been functional and effective.
+- The algorithms for pathfinding (Dijkstra, A*, BFS, DFS) have been implemented and tested successfully.
+- The web interface for control and simulation has been user-friendly and functional.
+
+### What Hasn't Worked?
+- Initial attempts to establish reliable communication between cubes and the board encountered issues.
+- Some difficulties were faced in optimizing the ArUco marker detection algorithm for real-time performance.
+- Network and simulation challenges occasionally arose during development.
+- Multithreading issues were encountered when managing the communication between the cubes and the board using Flask.
+
+
+### Questions to be Resolved
+- How can the communication protocol be further optimized for faster and more reliable performance?
+- What additional features can be added to enhance the user experience?
+- How can the cubes be further miniaturized for more efficient use?
+
+
+### Lessons Learned
+This project has been a comprehensive learning experience, aligning with the "make, fail, learn" motto. I have strived to parallel design research with the 20-week program, encountering several challenges and valuable insights along the way. The planning, especially in PCB design, required twice the anticipated time. However, achieving a screwless cube design with magnetic covers proved successful. This design allows easy access to internal mechanisms, facilitating quicker troubleshooting and solutions, while also concealing electronics to maintain user focus.
+
+Designing the light flow for the board, programming, and ensuring seamless communication between components was a unique and instructive challenge. My goal was to simplify re-assembly and assembly of all components.
+
+### Future Plans
+- **Miniaturization**: Further reduce the size of the cubes and optimize power management.
+- **Classroom Integration**: Develop a web interface for classroom use, allowing students to program and simulate algorithms based on questions.
+- **Diorama Addition**: Integrate a diorama for storytelling and algorithm demonstrations for younger students.
+- **HCI Research**: Enhance the project as part of Human-Computer Interaction research and integrate it into AI coursework.
+- **Power Management**: Continue optimizing power management, including the use of step-up converters for ESP32-C3 within the cubes.
+- **Educational Impact**: Use the project to teach algorithms and AI concepts, making it a valuable educational tool.
+
+### Research Component
+This project will also be part of my research, focusing on:
+- **Human-Computer Interaction**: Studying how users interact with the ToGO system and improving its usability and effectiveness.
+- **Educational Methods**: Exploring innovative ways to teach algorithms and AI concepts through interactive simulations.
+- **Technology Integration**: Investigating the integration of advanced technologies in educational settings to enhance learning experiences.
+
+
+I loved working on this project, and I am committed to its future development and integration into my teaching and research.
+
+
+## Hero Shot
+
+![w18](images/w18/a1.jpg)
+
+![w18](images/w18/s1.jpg)
+
+![w18](images/w18/c2.jpg)
+![w18](images/w18/c3.jpg)
+![w18](images/w18/c4.jpg)
+![w18](images/w18/c5.jpg)
+![w18](images/w18/c6.jpg)
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