ArticleSoft robotics2022
Action Augmentation of Tactile Perception for Soft-Body Palpation.
Article in Soft robotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 31 citations in OpenAlex.
- Tissue palpation in endoscopy using EIT and soft actuators.Frontiers in robotics and AI · 2024Article
- Multi-silicone bilateral soft physical twin as an alternative to traditional user interfaces for remote palpation: a comparative study.Scientific reports · 2023Article
- Robotic endoscope with double-balloon and double-bend tube for colonoscopy.Scientific reports · 2023Article
- Force-Sensorless Identification and Classification of Tissue Biomechanical Parameters for Robot-Assisted Palpation.Sensors (Basel, Switzerland) · 2022Article
- How the Environment Shapes Tactile Sensing: Understanding the Relationship Between Tactile Filters and Surrounding Environment.Frontiers in robotics and AI · 2022Article
- Online Morphological Adaptation for Tactile Sensing Augmentation.Frontiers in robotics and AI · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical palpation is a diagnostic technique in which physicians use the sense of touch to manipulate the soft human tissue. This can be done to enable the diagnosis of possibly life-threatening conditions, such as cancer. Palpation is still poorly understood because of the complex interaction dynamics between the practitioners' hands and the soft human body. To understand this complex of soft body interactions, we explore robotic palpation for the purpose of diagnosing the presence of abnormal inclusions, or tumors. Using a Bayesian framework for training and classification, we show that the exploration of soft bodies requires complex, multi-axis, palpation trajectories. We also find that this probabilistic approach is capable of rapidly searching the large action space of the robot. This work progresses "robotic" palpation, and it provides frameworks for understanding and exploiting soft body interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.