Recent progress in advanced tactile sensing technologies for soft grippers

J Qu, B Mao, Z Li, Y Xu, K Zhou, X Cao… - Advanced Functional …, 2023 - Wiley Online Library
Tactile sensing technology is crucial for soft grippers. Soft grippers equipped with intelligent
tactile sensing systems based on various sensors can interact safely with the unstructured …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

Bioinspired soft electroreceptors for artificial precontact somatosensation

ZH Guo, HL Wang, J Shao, Y Shao, L Jia, L Li, X Pu… - Science …, 2022 - science.org
Artificial haptic sensors form the basis of touch-based human-interfaced applications.
However, they are unable to respond to remote events before physical contact. Some …

Deployment of an electrocorticography system with a soft robotic actuator

S Song, F Fallegger, A Trouillet, K Kim, SP Lacour - Science robotics, 2023 - science.org
Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to
map epileptogenic regions of the brain and facilitate lesion resection surgery and …

Iontronic neuromorphic signaling with conical microfluidic memristors

TM Kamsma, WQ Boon, T Ter Rele, C Spitoni… - Physical Review Letters, 2023 - APS
Experiments have shown that the conductance of conical channels, filled with an aqueous
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …

Identifying important sensory feedback for learning locomotion skills

W Yu, C Yang, C McGreavy, E Triantafyllidis… - Nature Machine …, 2023 - nature.com
Robot motor skills can be acquired by deep reinforcement learning as neural networks to
reflect state–action mapping. The selection of states has been demonstrated to be crucial for …

Soft robotics enables neuroprosthetic hand design

G Gu, N Zhang, C Chen, H Xu, X Zhu - ACS nano, 2023 - ACS Publications
Development and implementation of neuroprosthetic hands is a multidisciplinary field at the
interface between humans and artificial robotic systems, which aims at replacing the …

Modulating brain activity with invasive brain–computer interface: A narrative review

ZP Zhao, C Nie, CT Jiang, SH Cao, KX Tian, S Yu… - Brain sciences, 2023 - mdpi.com
Brain-computer interface (BCI) can be used as a real-time bidirectional information gateway
between the brain and machines. In particular, rapid progress in invasive BCI, propelled by …

Metaverse wearables for immersive digital healthcare: a review

K Kim, H Yang, J Lee, WG Lee - Advanced Science, 2023 - Wiley Online Library
The recent exponential growth of metaverse technology has been instrumental in reshaping
a myriad of sectors, not least digital healthcare. This comprehensive review critically …

Prosthetic embodiment: systematic review on definitions, measures, and experimental paradigms

J Zbinden, E Lendaro, M Ortiz-Catalan - Journal of NeuroEngineering and …, 2022 - Springer
The term embodiment has become omnipresent within prosthetics research and is often
used as a metric of the progress made in prosthetic technologies, as well as a hallmark for …