ArticleMicromachines2018
Development of Flexible Robot Skin for Safe and Natural Human⁻Robot Collaboration.
Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A comprehensive review and bibliometric analysis on collaborative robotics for industry: safety emerging as a core focus.Frontiers in robotics and AI · 2025Pooled it
- Optimized Magnetization Distribution in Body-Centered Cubic Lattice-Structured Magnetoelastomer for High-Performance 3D Force-Tactile Sensors.Sensors (Basel, Switzerland) · 2025Article
- A high sensitivity, low cost and fully decoupled multi-axis capacitive tactile force sensor for robotic surgical systems.PloS one · 2024Article
- Spatial Calibration of Humanoid Robot Flexible Tactile Skin for Human-Robot Interaction.Sensors (Basel, Switzerland) · 2023Article
- MEMS-Based Tactile Sensors: Materials, Processes and Applications in Robotics.Micromachines · 2022Review
- Implementation of a Sponge-Based Flexible Electronic Skin for Safe Human-Robot Interaction.Micromachines · 2022Article
- Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques.Materials (Basel, Switzerland) · 2022Review
- Enhancing Part-to-Part Repeatability of Force-Sensing Resistors Using a Lean Six Sigma Approach.Micromachines · 2022Article
- An Atlas for the Inkjet Printing of Large-Area Tactile Sensors.Sensors (Basel, Switzerland) · 2022Review
- A Simple Neural Network for Collision Detection of Collaborative Robots.Sensors (Basel, Switzerland) · 2021Article
- Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection.Sensors (Basel, Switzerland) · 2019Article
- Flexible Piezoresistive Sensor with the Microarray Structure Based on Self-Assembly of Multi-Walled Carbon Nanotubes.Sensors (Basel, Switzerland) · 2019Article
- Biomimetic Tactile Sensors with Bilayer Fingerprint Ridges Demonstrating Texture Recognition.Micromachines · 2019Article
- A Review of Design and Fabrication of the Bionic Flapping Wing Micro Air Vehicles.Micromachines · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
For industrial manufacturing, industrial robots are required to work together with human counterparts on certain special occasions, where human workers share their skills with robots. Intuitive human⁻robot interaction brings increasing safety challenges, which can be properly addressed by using sensor-based active control technology. In this article, we designed and fabricated a three-dimensional flexible robot skin made by the piezoresistive nanocomposite based on the need for enhancement of the security performance of the collaborative robot. The robot skin endowed the YuMi robot with a tactile perception like human skin. The developed sensing unit in the robot skin showed the one-to-one correspondence between force input and resistance output (percentage change in impedance) in the range of 0⁻6.5 N. Furthermore, the calibration result indicated that the developed sensing unit is capable of offering a maximum force sensitivity (percentage change in impedance per Newton force) of 18.83% N
Indexed as
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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.