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--- title: 【其他】實用開發工具清單 tags: TTennis Pickup Robot disqus: hackmd --- <h1 style="text-align: center; color: orange;"> 🛠️ 【其他】不是業配 🛠️ </h1> <h2 style="text-align: center; color: skyblue;"> 實用開發工具清單 </h2> <h3><font color ="magenza">【筆記軟體】</font></h3> * [draw.io](https://app.diagrams.net/): 用來畫 mindmap。 * [Notion](https://www.notion.so/):撰寫更簡易,自定義元素少。 * [LaTeX](https://www.latex-project.org/):論文專業排版軟體,上手難度高。放個[菜鳥時期的 LaTeX 筆記](https://www.overleaf.com/project/6223343afdb43a59ddd618be)。 * [Overleaf](https://www.overleaf.com/):LaTeX 雲端撰寫網站。 * [HackMD](https://hackmd.io/):即此筆記的軟體啦 ~ 支援 GitHub 同步。 --- <h3><font color ="magenza">【機構設計】</font></h3> > 還沒學過主流的 Solidworks、Fushion360,而且也沒啥設計經驗。 * [小畫家](https://apps.microsoft.com/detail/9pcfs5b6t72h?hl=zh-tw&gl=TW):我只能說這是業界標竿。 * [Autodesk Inventor](https://www.autodesk.com.tw/products/inventor/overview):適合畫簡單的 3D 列印或板金件。 <h3><font color ="magenza">【電路開發】</font></h3> * [TinkerCAD](https://www.tinkercad.com/):網頁版,給小朋友畫個示意圖。 * [EasyEDA](https://easyeda.com/):和自家生產線合併,貼片叫件方便。 * [Altium Designer](https://www.altium.com/altium-designer):業界 PCB 設計工具。 <h3><font color ="magenza">【嵌入式開發】</font></h3> * [Arduino IDE 2.0](https://docs.arduino.cc/software/ide/):簡易實用 IDE,可用 [Serial Plotter](https://docs.arduino.cc/software/ide-v2/tutorials/ide-v2-serial-plotter) 圖形化輸出。 * [Visual Micro](https://www.visualmicro.com/):完全兼容且更強大的 Arduino IDE。 * [PlatformIO](https://platformio.org/):可在 vscode extensions 中使用,代替 Arduino IDE。 * [STM32CubeIDE](https://www.st.com/en/development-tools/stm32cubeide.html):幾乎包含 [STM32CubeMX](https://www.st.com/en/development-tools/stm32cubemx.html) 所有功能,用這就好。 * [Matlab](https://www.mathworks.com/products/matlab.html):數學模擬及推論,如可用來[調直流馬達 PID 參數](https://hackmd.io/@925/S1lQD_ljq/%2Fs%2FAPmzaSviSVe3_mj3eKkxHg%3Fboth%232-5-%25E7%2594%25A8-Matlab-%25E7%25AE%2597-PID-)。 <h3><font color ="magenza">【軟體開發】</font></h3> * [Cursor](https://www.cursor.com/):VSCode x Copilot 的替代品,更強大的 AI 輔助編程。 * [Visual Studio Code](https://code.visualstudio.com/):以前幾乎所有程式碼都用這。 * [Visual Studio](https://visualstudio.microsoft.com/zh-hant/):用 [Visual Micro](https://www.visualmicro.com/) 時會開。 * [Docker](https://www.docker.com/):OS 虛擬化技術。Windows 用 [Docker Desktop](https://www.docker.com/products/docker-desktop/)。 * [GitHub](https://github.com/):偷偷放[我的](https://github.com/pomelo925)ㄏㄏ * [XSHELL](https://www.netsarang.com/en/xshell/):電腦可用 usb2ttl 連線至 rpi,透過 xshell 訪問終端機。 * [Termius](https://termius.com/):SSH 平台。可儲存終端機指令,透過電腦、手機、平板發送指令給機器人。 * [MobaXTerm](https://mobaxterm.mobatek.net/download.html):觀看遠端影像、network scanner 掃 IP。 * [Ventoy](https://www.ventoy.net/):多合一 USB 開機碟製作軟體。 --- <h3><font color ="magenza">【機器人運算單元】</font></h3> * [ikoolcore R2 NUC](https://www.ikoolcore.com/products/ikoolcore-nuc) * 芯片為 Intel® AlderLake-N。 * 可在 ROS 環境下同時負荷 YOLOv8、PCL、2D Lidar、navigation_stack 等。 * 散熱真D好、運算效率穩定,且工作電壓 12~20V 允許與大功耗馬達並聯。 * [Raspberry Pi 5B](https://www.raspberrypi.com/products/raspberry-pi-5/) * 適用輕度需求,像是感測器整合。 * 可 24hr 運作 HomeAssitant 這種低耗能背景程式。 * 跟 arduino、esp32 做簡單的整合也沒問題。 * 極度不適合跑 ROS/ROS2。編譯速度慢,運行時容易熱當。 <h3><font color ="magenza">【邊緣運算】</font></h3> * [Jetson Series (Nano)](https://developer.nvidia.com/embedded/jetson-nano-developer-kit):性能沒問題,但要注意 linux, python環境。 <h3><font color ="magenza">【相機】</font></h3> * [Intel® RealSense™ D435i](https://www.intel.com.tw/content/www/tw/zh/products/sku/128255/intel-realsense-depth-camera-d435/specifications.html):RGBD 畫面優秀。也支援 ROS([realsense-ros](https://github.com/IntelRealSense/realsense-ros/releases)、[pyrealsense2](https://pypi.org/project/pyrealsense/)。 * [Luxonis OAK-D Pro](https://shop.luxonis.com/products/oak-d-pro):spatial AI cam,內建 4ToF 嵌入式 AI 運算單元,效果很好。

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