視覚言語行動モデルによるロボット撮影システム
Robotic Photography System based on Vision-Language-Action Model
写真撮影の意図理解からカメラ制御までを統合したVLAフレームワークRoboPhoto-VLAを提案し、人間の美的選好に沿った撮影を実現した。
詳しい要約
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著者: Song-Li Wu, Chubin Zhang, Wenbo Ding, Yansong Tang
分類: cs.RO, cs.AI
原文アブストラクト
Modern robotic photography requires understanding photographic intent, planning camera motions, and producing aesthetically pleasing images in complex environments. We present RoboPhoto-VLA, a unified Vision-Language-Action framework that jointly models perception, reasoning, and camera control for autonomous robotic photography. RoboPhoto-VLA incorporates PhotoCoT for structured action planning and Aesthetic Direct Preference Optimization (ADPO) to align camera behaviors with human aesthetic preferences. To facilitate training and evaluation, we construct OpenPhotography, a robotic photography dataset with language-guided demonstrations. Extensive real-world experiments demonstrate that RoboPhoto-VLA produces photographs better aligned with human aesthetic preferences while generalizing effectively to unseen subjects, viewpoints, poses, and complex photographic instructions.