ArticleNature communications2023
Multi-modal deformation and temperature sensing for context-sensitive machines.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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
7 citing papers in PubMed, 35 citations in OpenAlex.
- Polymer-Based Flexible Wireless Sensors for Health Monitoring.Nano-micro letters · 2026Review
- Flexible, multimodal, electrical-sensing-optical-transmission μfiber-sensors via an on-fiber printed electronics strategy.National science review · 2026Article
- Enabling Real-Time Shape-Sensing in Soft Robots via a Miniaturized, Single-Signal, Color-Tuned Soft Optical Sensor.Advanced robotics research · 2026Article
- Surface-based manipulation with modular foldable robots.npj Robotics · 2026Article
- Nanomaterial Engineered Biosensors and Stimulus-Responsive Platform for Emergency Monitoring and Intelligent Diagnosis.Biosensors · 2025Review
- A fabrication strategy for millimeter-scale, self-sensing soft-rigid hybrid robots.Nature communications · 2024Article
- Multi-modal deformation and temperature sensing for context-sensitive machines.Nature communications · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Owing to the remarkable properties of the somatosensory system, human skin compactly perceives myriad forms of physical stimuli with high precision. Machines, conversely, are often equipped with sensory suites constituted of dozens of unique sensors, each made for detecting limited stimuli. Emerging high degree-of-freedom human-robot interfaces and soft robot applications are delimited by the lack of simple, cohesive, and information-dense sensing technologies. Stepping toward biological levels of proprioception, we present a sensing technology capable of decoding omnidirectional bending, compression, stretch, binary changes in temperature, and combinations thereof. This multi-modal deformation and temperature sensor harnesses chromaticity and intensity of light as it travels through patterned elastomer doped with functional dyes. Deformations and temperature shifts augment the light chromaticity and intensity, resulting in a one-to-one mapping between stimulus modes that are sequentially combined and the sensor output. We study the working principle of the sensor via a comprehensive opto-thermo-mechanical assay, and find that the information density provided by a single sensing element permits deciphering rich and diverse human-robot and robot-environmental 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.