ArticleScience advances2022
Fluidic innervation sensorizes structures from a single build material.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Tactile perception through fluid-solid interaction.Nature communications · 2026Article
- MELEGROS: Monolithic Elephant-Inspired Gripper with Optical Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Fluid Pressure Sensing Strategy Suitable for Swallowing Soft Gripper.Sensors (Basel, Switzerland) · 2026Article
- A general soft robotic controller inspired by neuronal structural and plastic synapses that adapts to diverse arms, tasks, and perturbations.Science advances · 2026Article
- Inverse Co-Design of Mechanical And Sensory Properties in Soft Lattice Foams for Multifunctional Wearables.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Architected Soft Actuators for Artificial Musculoskeletal Systems.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Lattice structure musculoskeletal robots: Harnessing programmable geometric topology and anisotropy.Science advances · 2025Article
- Article
- Electrically-driven phase transition actuators to power soft robot designs.Nature communications · 2025Article
- Multi-Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Wearable and Implantable Soft Robots.Chemical reviews · 2024Review
- A retrofit sensing strategy for soft fluidic robots.Nature communications · 2024Article
- Recent Advances in Sensor-Actuator Hybrid Soft Systems: Core Advantages, Intelligent Applications, and Future Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- Article
- Sensing in Soft Robotics.ACS nano · 2023Review
- An End-to-End Dynamic Posture Perception Method for Soft Actuators Based on Distributed Thin Flexible Porous Piezoresistive Sensors.Sensors (Basel, Switzerland) · 2023Article
- Robotic Materials Transformable Between Elasticity and Plasticity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Highly Integrated Multi-Material Fibers for Soft Robotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multifunctional materials with distributed sensing and programmed mechanical properties are required for myriad emerging technologies. However, current fabrication techniques constrain these materials' design and sensing capabilities. We address these needs with a method for sensorizing architected materials through fluidic innervation, where distributed networks of empty, air-filled channels are directly embedded within an architected material's sparse geometry. By measuring pressure changes within these channels, we receive feedback regarding material deformation. Thus, this technique allows for three-dimensional printing of sensorized structures from a single material. With this strategy, we fabricate sensorized soft robotic actuators on the basis of handed shearing auxetics and accurately predict their kinematics from the sensors' proprioceptive feedback using supervised learning. Our strategy for facilitating structural, sensing, and actuation capabilities through control of form alone simplifies sensorized material design for applications spanning wearables, smart structures, and robotics.
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.