Engineering and TechnologyNature Communications
Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array
C. Jiang, W. Xu, et al.
Discover the groundbreaking research by authors including Chunpeng Jiang and Wenqiang Xu, showcasing a visual-tactile recording system with unprecedented accuracy for interaction with deformable objects, essential for telemedicine and robotics applications!
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
J. Zhang, F. Zhong, et al.
Medicine and Health
Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
X. Xue, S. Chinnaperumal, et al.
Medicine and Health
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery
Y. Xu, S. Ma, et al.
Engineering and Technology
A neuromorphic bionic eye with filter-free color vision using hemispherical perovskite nanowire array retina
Z. Long, X. Qiu, et al.

