Resources 學習資源

Prerequisites & Learning Resources

[English Version]

[!IMPORTANT] The following resources include internal lab materials. Do not redistribute or share externally.

To ensure smooth research progress, new members are expected to acquire the following core skills during the early stage:

Internal Lab Materials – Do Not Distribute

These resources form the foundation of our lab research. Please study them carefully.

• Fundamental Programming & AI Skills

  • Includes Python environment setup, Git version control, and basic deep learning frameworks.

• Object Pose Estimation Basics

  • A core technique in robotic perception, enabling object grasping when integrated with motion planning. It is a key component of Physical AI.

• Anomaly Detection Basics

  • Commonly applied in industrial inspection, surveillance, data analysis, and IoT applications.

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先備知識與學習資源

[!IMPORTANT] 以下資源包含實驗室內部資料，請勿任意外流與轉載。

為確保研究進度順利，建議成員於入學初期掌握以下核心技能：

實驗室內部資料，請勿任意外流與轉載

以下資源為本實驗室研究之核心基礎，請妥善學習。

• 基礎電腦程式與 AI 相關技能

  • 包含 Python 環境管理、Git 版本控制與基礎 Deep Learning 架構。

• 基礎物件姿態估測

  • 屬於機器人感知核心技術，能配合手臂路徑規劃實現機器人物件夾取，是 Physical AI 關鍵技術之一。

• 基礎異常偵測系統

  • 常見於公司管理、工業檢測、視覺數據分析以及物聯網等應用領域。