Results 201 to 210 of about 16,838,211 (334)

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

Advanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi, Osman Gul, Wonhee Lee, Seokjoo Cho, Yong‐Jin Yoon, Paola Saccomandi, Inkyu Park   +6 more
wiley   +1 more source

Multitask Diffractive Deep Neural Networks Enabled by Joint Distance-Frequency Encoding. [PDF]

Nanophotonics
Jiang Z, Fei Z, Jiang W, Ding G, Chen K, Feng Y.   +5 more
europepmc   +1 more source

An All‐Fabric Wearable System for Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici   +3 more
wiley   +1 more source

Improving performance in SNN-based deep reinforcement learning via transition-aware embeddings. [PDF]

Front Neurorobot
Takigasaki H, Iwata T, Yoshioka S, Miki D.   +3 more
europepmc   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Formation Energy Prediction and Feature Analysis of Lead-Free Double Perovskites Based on Deep Learning. [PDF]

Molecules
Wang B, Wang J.
europepmc   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Label-Efficient and Lightweight Spectrum Prediction for UAV-Based Spectrum Sensing: A Critical Review. [PDF]

Sensors (Basel)
Xu R, Li C, Su Q, Luo Z, Wang X.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source