ArticleAdvanced robotics research2026
Enabling Real-Time Shape-Sensing in Soft Robots via a Miniaturized, Single-Signal, Color-Tuned Soft Optical Sensor.
Article in Advanced robotics research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- PALPABLE: enhanced bending stiffness and proprioception in soft actuators for laparoscopic palpation.Frontiers in robotics and AI · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft robotic systems require embedded sensing for closed-loop and autonomous control; however, existing shape-sensing approaches are limited by rigidity, bulky multisensor designs, and high computational cost. Here, we present Light-based Ultrathin Miniature Optical Sensor (LUMOS), a miniaturized, fully soft optical sensor with a 1.25 mm cross-section that utilizes thin film color tuning and a flexible mirror tip to deliver real-time 3D shape information from a single red-green-blue (RGB) response. The mirror enables full signal reflection and transmission from the base, eliminating the need for onboard electronics and allowing for miniaturization. Additionally, thin film color tuning adds minimal thickness and encodes sufficient data for complete 3D shape reconstruction. Integrated into a miniaturized soft continuum robot, LUMOS achieved a predicted tip accuracy of 0.47 mm using neural network mapping. In closed-loop operation, the robot demonstrated precise 3D targeting, maintained accuracy under external disturbances, and autonomously navigated in an in vitro lung phantom.
Indexed as
Identifiers
What OpenQuestion holds
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.