Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI
Overview
This paper introduces Sensorium, an open-source Python library designed to record, process, annotate, and curate multimodal surgical data from configurable robot and sensor streams using ROS and ROS2. The authors evaluate the library across 1516 recordings involving phantom, ex vivo, and in vivo porcine experiments with multiple surgical tasks and sensing configurations, reporting preliminary usability feedback.
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Event evidence and corrections
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Reported quantity · recordings: 1516 other · reported trials
“em (ROS) and ROS2 middleware. The library combines operator-facing data acquisition, configurable processing, semantic annotation, and episodic dataset generation. We evaluate Sensorium across 1516 recordings of phantom, ex vivo, and in vivo porcine experiments involving multiple surgical tasks and sensing configurations, and report preliminary usability feedback.”
Exact source · revision 1Source owner not reported
Dataset · modalities: multimodal surgical data
“arXiv:2610.41946v1 Announce Type: cross Abstract: Embodied surgical AI requires reliable multimodal data, yet surgical data collection remains costly, difficult to repeat, and strongly dependent on the hardware setup. We present Sensorium, an open-source Python library for recording, processing, annotating, and curating multimodal surgical data from configurable robot and sensor streams using the Robot Operating Syst”
Exact source · revision 1Source owner not reported
Dataset · tasks: multiple surgical tasks
“em (ROS) and ROS2 middleware. The library combines operator-facing data acquisition, configurable processing, semantic annotation, and episodic dataset generation. We evaluate Sensorium across 1516 recordings of phantom, ex vivo, and in vivo porcine experiments involving multiple surgical tasks and sensing configurations, and report preliminary usability feedback.”
Exact source · revision 1Source owner not reported
Dataset · embodiments: configurable robot and sensor streams
“arXiv:2610.41946v1 Announce Type: cross Abstract: Embodied surgical AI requires reliable multimodal data, yet surgical data collection remains costly, difficult to repeat, and strongly dependent on the hardware setup. We present Sensorium, an open-source Python library for recording, processing, annotating, and curating multimodal surgical data from configurable robot and sensor streams using the Robot Operating Syst”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalSensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI
This paper introduces Sensorium, an open-source Python library designed to record, process, annotate, and curate multimodal surgical data from configurable robot and sensor streams using ROS and ROS2. The authors evaluate the library across 1516 recordings involving phantom, ex vivo, and in vivo porcine experiments with multiple surgical tasks and sensing configurations, reporting preliminary usability feedback.
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