ArticleNature communications2025
A framework for soft mechanism driven robots.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Active Oscillations of Elastic Membranes Arising from the Coupling with a Catalytic Reaction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Material Extrusion-Enabled Soft Multimodal Pressure Sensors With Fabrication-Embedded Stretch-Induced Strain Insensitivity.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Bioinspired Morphology-Decoupled Soft Gripper with Enhanced Bidirectional Grasping Capability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Armadillo-inspired active morphing skeletons for soft machines.Science advances · 2026Article
- Fingertip-scale six-axis tactile interface with high-precision force sensing and position localization for dexterous human-machine interactions.Microsystems & nanoengineering · 2026Article
- Pellet Printing for Soft Robotic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Up-and-down transformable embedded ink writing strategy for soft 3D architectures.Nature communications · 2025Article
- Design and control of a novel pneumatic soft robot based on the improved particle swarm optimization algorithm.PloS one · 2025Article
- Bridging the Gap to Bionic Motion: Challenges in Legged Robot Limb Unit Design, Modeling, and Control.Cyborg and bionic systems (Washington, D.C.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft robots excel in safety and adaptability, yet their lack of structural integrity and dependency on open-curve movement paths restrict their dexterity. Conventional robots, albeit faster due to sturdy locomotion mechanisms, are typically less robust to physical impact. We introduce a multi-material design and printing framework that extends classical mechanism design to soft robotics, synergizing the strengths of soft and rigid materials while mitigating their respective limitations. Using a tool-changer equipped with multiple extruders, we blend thermoplastics of varying Shore hardness into monolithic systems. Our strategy emulates joint-like structures through biomimicry to achieve terrestrial trajectory control while inheriting the resilience of soft robots. We demonstrate the framework by 3D printing a legged soft robotic system, comparing different mechanism syntheses and material combinations, along with their resulting movement patterns and speeds. The integration of electronics and encoders provides reliable closed-loop control for the robot, enabling its operation across various terrains including sand, soil, and rock environments. This cost-effective framework offers an approach for creating 3D-printed soft robots employable in real-world environments.
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.