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This monograph seeks to define physical AI, present its technical landscape, and examine each key technical subfield in depth, and establishes a unified framework for Physical AI: artificial systems that perceive, model, and act upon the physical world through continuous feedback under real-world constraints.
While most robotic research focuses on household tasks such as bus table arrangement and cloth folding, numerous manipulation tasks remain challenging for industrial applications, particularly the grasping and transportation of scattered workpieces. In this paper, we propose SGDIFF, a vision-guided grasping architectur...
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