Dataset Information

Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.

ABSTRACT: Progress toward intelligent human-robotic interactions requires monitoring sensors that are mechanically flexible, facile to implement, and able to harness recognition capability under harsh environments. Conventional sensing methods have been divided for human-side collection or robot-side feedback and are not designed with these criteria in mind. However, the iontronic polymer is an example of a general method that operates properly on both human skin (commonly known as skin electronics or iontronics) and the machine/robotic surface. Here, a unique iontronic composite (silk protein/glycerol/Ca(II) ion) and supportive molecular mechanism are developed to simultaneously achieve high conductivity (around 6 kΩ at 50 kHz), self-healing (within minutes), strong stretchability (around 1000%), high strain sensitivity and transparency, and universal adhesiveness across a broad working temperature range (-40-120 °C). Those merits facilitate the development of iontronic sensing and the implementation of damage-resilient robotic manipulation. Combined with a machine learning algorithm and specified data collection methods, the system is able to classify 1024 types of human and robot hand gestures under challenging scenarios and to offer excellent object recognition with an accuracy of 99.7%.

SUBMITTER: Liu M

PROVIDER: S-EPMC8805592 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.

Liu Mengwei M Zhang Yujia Y Zhang Yanghong Y Zhou Zhitao Z Qin Nan N Tao Tiger H TH

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20211105 2

Progress toward intelligent human-robotic interactions requires monitoring sensors that are mechanically flexible, facile to implement, and able to harness recognition capability under harsh environments. Conventional sensing methods have been divided for human-side collection or robot-side feedback and are not designed with these criteria in mind. However, the iontronic polymer is an example of a general method that operates properly on both human skin (commonly known as skin electronics or ion ...[more]

PMID: 34738735

Similar Datasets

Project description:This study investigates the stability and application of trithiocarbonate-based chain transfer agents (CTAs) in reversible addition-fragmentation chain transfer (RAFT) radical polymerization under harsh conditions. We evaluated the stability of 4-cyano-4-(2-carboxyethylthiothioxomethylthio) pentanoic acid (Rtt-17) and 4-cyano-4-(dodecylsulfanylthiocarbonyl) sulfanylpentanoic acid (Rtt-05) at 60 °C under basic conditions using 1H NMR and UV-vis absorption spectra, showing that Rtt-05 is more stable than Rtt-17. The greater stability of Rtt-05 is attributed to the hydrophobic dodecyl group, which allows it to form micelles in water, thereby protecting the trithiocarbonate group from the surrounding aqueous phase. In contrast, hydrophilic Rtt-17, without long alkyl chains, cannot form micelles in water. Following the stability assessment, Rtt-17 and Rtt-05 were employed for RAFT polymerization of hydrophilic monomers, such as N,N-dimethylacrylamide (DMA) and 2-(methacryloyloxy)ethyl phosphorylcholine (MPC). DMA can dissolve in both water and organic solvents, and MPC can dissolve in water and polar solvents. Both CTAs successfully controlled the polymerization of DMA, producing polymers with narrow molecular weight distributions (Mw/Mn) less than 1.2. Also, Rtt-17 demonstrated effective control of MPC polymerization, yielding Mw/Mn values of around 1.2. However, during the polymerization of MPC, Rtt-05 failed to maintain control, resulting in a broad Mw/Mn (≥1.9). The inability of Rtt-05 to control MPC polymerization is due to the formation of micelles, which disrupts the interaction between the hydrophilic MPC propagating radicals and the trithiocarbonate group in the hydrophobic core of Rtt-05 micelles. The findings provide critical insights into designing CTAs for specific applications, particularly for biomedical and industrial uses of hydrophilic polymers, highlighting the potential for precise molecular weight control and tailored polymer properties.

Dataset Information

Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.

Publications

Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets