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Researchers developed an AI-based single-shot structured-light method for real-time depth perception in laparoscopic surgery, addressing limitations of conventional multi-shot techniques. This approach aims to simplify integration into compact robotic laparoscopic systems by avoiding complex synchr...
Researchers developed an AI-based single-shot structured-light method for real-time depth perception in laparoscopic surgery, addressing limitations of conventional multi-shot techniques. This approach aims to simplify integration into compact robotic laparoscopic systems by avoiding complex synchr...
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Significance. Accurate intraoperative depth perception is important for autonomous and semi-autonomous robotic laparoscopic surgery. Conventional fringe projection profilometry can achieve millimeter-scale accuracy but often requires multi-shot acquisition, digital-micromirror-device projection, and...
Accurate intraoperative depth perception is crucial for autonomous and semi-autonomous robotic laparoscopic surgery, improving surgical precision and safety. Simplifying depth sensing technology can facilitate wider adoption of advanced robotic guidance in minimally invasive procedures.
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VQV surfaced this signal because it is recent, relevant to Robotics, connected to arXiv.
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