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ARXIV:2603.07909 · MEDICAL ROBOTICS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE
ARXIV:2603.07909MEDICAL ROBOTICSSUBMITTED 02 APR · 02:30 UTCFRESHNESS STALEarXiv
Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking.
Opportunity summary
Pain Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking.
Evidence 0 refs | 0 sources | 17% coverage
Blocker Evidence unverified
Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking. Existing navigation platforms often rely on external localization technologies, such as electromagnetic tracking or shape sensing, which increase hardware complexity and…
Accurate intraoperative navigation is essential for robot-assisted endoluminal intervention, but remains difficult because of limited endoscopic field of view and dynamic artifacts. Existing navigation platforms often rely on external localization technologies, such as electromagnetic…
ScienceToStartup currently rates this 2.0/10 on the public viability pass. The framework uses hierarchical long-short agents: a short-term reactive agent for continuous low-latency motion control, and a long-term strategic agent for decision support at…
Medical Robotics moved forward this cycle; last verified April 2026. Public score 2.0/10.
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Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking.
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Paper Pack
10.48550/arXiv.2603.07909Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking.
Abstract
Accurate intraoperative navigation is essential for robot-assisted endoluminal intervention, but remains difficult because of limited endoscopic field of view and dynamic artifacts. Existing navigation platforms often rely on external localization technologies, such as electromagnetic tracking or shape sensing, which increase hardware complexity and remain vulnerable to intraoperative anatomical mismatch. We present a vision-only autonomy framework that performs long-horizon bronchoscopic navigation using preoperative CT-derived virtual targets and live endoscopic video, without external tracking during navigation. The framework uses hierarchical long-short agents: a short-term reactive agent for continuous low-latency motion control, and a long-term strategic agent for decision support at anatomically ambiguous points. When their recommendations conflict, a world-model critic predicts future visual states for candidate actions and selects the action whose predicted state best matches the target view. We evaluated the system in a high-fidelity airway phantom, three ex vivo porcine lungs, and a live porcine model. The system reached all planned segmental targets in the phantom, maintained 80\% success to the eighth generation ex vivo, and achieved in vivo navigation performance comparable to the expert bronchoscopist. These results support the preclinical feasibility of sensor-free autonomous bronchoscopic navigation.
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Proof status
unverified0 refs; 0 sources; 17% coverage.
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PROBLEM
Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking. Existing navigation platforms often rely on external localization technologies, such as electromagnetic tracking or shape sensing, which increase hardware...
METHOD
Accurate intraoperative navigation is essential for robot-assisted endoluminal intervention, but remains difficult because of limited endoscopic field of view and dynamic artifacts. Existing navigation platforms often rely on external localization technologies, such as electroma...
RESULT
ScienceToStartup currently rates this 2.0/10 on the public viability pass. The framework uses hierarchical long-short agents: a short-term reactive agent for continuous low-latency motion control, and a long-term strategic agent for decision support at anatomically ambiguous poi...
WHY NOW
Medical Robotics moved forward this cycle; last verified April 2026. Public score 2.0/10.
Abstract-backed public claims while anchored extraction refreshes.
Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking. Existing navigation platforms often rely on external localization technologies, such as electromagnetic tracking or shape sensing, which increase hardware complexity and remain vulnerable to intraoperative anatomical mismatch.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Accurate intraoperative navigation is essential for robot-assisted endoluminal intervention, but remains difficult because of limited endoscopic field of view and dynamic artifacts. Existing navigation platforms often rely on external localization technologies, such as electromagnetic tracking or shape sensing, which increase hardware complexity and remain vulnerable to intraoperative anatomical mismatch.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 2.0/10 on the public viability pass. The framework uses hierarchical long-short agents: a short-term reactive agent for continuous low-latency motion control, and a long-term strategic agent for decision support at anatomically ambiguous points.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Medical Robotics moved forward this cycle; last verified April 2026. Public score 2.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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Vision-only autonomy framework for preclinical feasibility of autonomous bronchoscopic navigation without external tracking.
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Medical Robotics
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Commercial read
2.0/10 public viability
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