Results 51 to 60 of about 28,726 (243)

MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band

Advanced Materials Technologies, EarlyView.
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi, Jamal Alhourani, Yury Gogotsi, Mohammad H. Zarifi   +3 more
wiley   +1 more source

Radar Altimetry Aids Managing Gauge Networks

Water Resources Management, 2014
The hydrological observation network in the Amazon basin is made of conventional rainfall and water level stations presently maintained by the Agencia Nacional de Aguas (ANA), the National Agency for Waters. The water level network has long been plagued by difficulties associated with spatial coverage, timely delivery and data errors.
da Silva, J. S., Calmant, S., Seyler, F., Moreira, D. M., Oliveira, D., Monteiro, A.   +5 more
openaire   +2 more sources

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source

Imaging of Moving Target Using Swarm of UAV-Borne Radars: Algorithm and Simulation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The accuracy of parameter estimation dominates image quality of moving targets in synthetic aperture radar (SAR). Single-channel SAR usually shows a poor performance in parameter estimation, resulting in degraded imaging of moving targets.
Yuhao Chen, Chao Zhong, Jinshan Ding
doaj   +1 more source

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Neural Network and Deep Q-Learning Network

IEEE Access, 2020
Intra-pulse modulation recognition of radar signals is an important part of modern electronic intelligence reconnaissance and electronic support systems.
Zhiyu Qu, Chenfan Hou, Changbo Hou, Wenyang Wang   +3 more
doaj   +1 more source

Adhesive Double‐Network Granular Organogel E‐Skin

Advanced Materials Technologies, EarlyView.
We introduce a double‐network granular organogel adhesive for electronic skin, overcoming adhesion and strength trade‐offs. It provides reversible, robust bonding and ionic conductivity, enabling wearable and soft robotic e‐skin. Thanks to the e‐skin adhesive, a soft robotic trunk can recognize touch, temperature, humidity, and acidity.
Antonia Georgopoulou, Benhui Dai, Kadence Shen Yu Chow, Josie Hughes, Esther Amstad   +4 more
wiley   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

ISAR imaging resource-scheduling algorithm in network radar based on information fusion

The Journal of Engineering, 2019
Aiming at the application requirements of three-dimensional (3-D) fusion imaging of network radar, this study proposes an ISAR imaging resource-scheduling algorithm for network radar.
Aiqiong Li, Kefei Liao, Shan Ouyang, Jingjing Li   +3 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source