Research 研究方向

Our lab focuses on applying artificial intelligence to real-world environments, particularly integrating perception, edge computing, and intelligent systems to develop deployable AI technologies.

本實驗室專注於人工智慧在實際環境中的應用，特別是結合感知、邊緣運算與智慧系統，致力於打造可部署於真實世界的 AI 技術。

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Research Areas

Edge AI 邊緣運算

We study how to deploy deep learning models on resource-constrained edge devices, including model compression, efficient inference, and system optimization.

研究如何將深度學習模型部署於資源受限的邊緣裝置，包含模型壓縮、加速推論與系統優化。

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Object Pose Estimation 物件姿態估測

We focus on estimating the 3D position and orientation of objects, with applications in robotic manipulation and scene understanding. Future work includes integration with robotic arms.

專注於物件在三維空間中的位置與姿態估測，應用於機器人操作與場景理解，未來將結合機器手臂實作。

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Anomaly Detection 異常事件偵測

We investigate anomaly detection methods for applications such as industrial inspection, surveillance systems, and smart manufacturing.

研究異常事件偵測方法，應用於工業檢測、監控系統與智慧製造。

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Machine Perception 機器感知

We explore how machines interpret visual and sensory data, including visual understanding, representation learning, and multimodal perception.

探討機器如何理解視覺與感測資料，包含影像理解、特徵學習與跨模態感知。