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PEAR Lab

Perception, Edge AI, and Robotics Laboratory

感知、邊緣人工智慧與機器人實驗室

The advisor provides time for exploration and growth, but research progress is ultimately your own responsibility.
指導老師願意給予學生時間探索與成長，但研究進度終究是自己的責任。

English Version

This website serves as the central hub for lab operations, including policies, technical resources, and administrative workflows.
Please review all materials carefully and integrate them into your research practice.

Lab Culture & Values

1. Professionalism & Rigor

We expect all members to develop strong technical skills and maintain rigorous academic standards.
Our goal is not short-term results, but the development of sustainable and transferable expertise in AI.

2. Research Integrity

All research must adhere to the following principles:

  • Reliability: Data must be accurate and truthful
  • Reproducibility: Experiments must be verifiable and repeatable
  • Critical Thinking: Do not rely on unverified AI-generated outputs

3. Initiative & Responsibility

Research progress is the responsibility of each individual. Members are expected to take initiative in their work.

Expected behaviors:

  1. Read relevant literature
  2. Implement and validate methods
  3. Identify problems and propose solutions

4. Resource & Environment

  • Maintain a clean working environment
  • Use equipment properly
  • Avoid misuse or unnecessary resource consumption

Maintain a safe and sustainable research environment for all members.

5. Respect & Accountability

Mutual respect and accountability are fundamental to a professional research environment.

  • Maintain respectful communication with advisors and lab members
  • Respond to messages and meeting requests in a timely manner
  • Do not become unresponsive or unavailable without prior notice
  • Take responsibility for your commitments and deadlines

中文版本

這裡是實驗室的運作中心，存放所有規範、技術資源與行政流程。
請每位成員務必詳閱，並將其內化為研究生活的一部分。

實驗室風氣與價值觀

1. 專業能力與嚴謹態度

本實驗室期望每位成員培養紮實的專業能力與嚴謹的學術態度，強調可持續累積且可轉移的核心能力。

2. 學術誠信與研究品質

  • 真實可靠：實驗數據須真實
  • 可驗證性：研究過程須可重現
  • 批判思考：不得盲信未驗證之 AI 結果

3. 自主學習與責任

建議基本行為：

  1. 主動閱讀文獻
  2. 實作與驗證方法
  3. 整理問題並提出解法

4. 資源維護與實驗室環境

  • 維持環境整潔
  • 正確使用設備
  • 避免不當使用或資源浪費

共同維護安全且可持續的研究環境。

5. 尊重與守信

良好的研究環境建立於彼此尊重與基本的責任感之上。

  • 與指導教授及實驗室成員保持基本禮貌與尊重
  • 應適時回覆訊息與會議安排
  • 不得無故失聯或長時間未回應
  • 對自身承諾之工作與時程負責