Results 151 to 160 of about 549,786 (309)

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

MalSSL—Self-Supervised Learning for Accurate and Label-Efficient Malware Classification

IEEE Access
Malware classification with supervised learning requires a large dataset, which needs an expensive and time-consuming labeling process. In this paper, we explore the efficacy of self-supervised learning techniques for malware classification.
Setia Juli Irzal Ismail, Hendrawan, Budi Rahardjo, Tutun Juhana, Yasuo Musashi   +4 more
doaj   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

Advanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye, Wei Rong, Waiming Li, Kwok‐Ting Wong, Man‐Kit Pang, Hon‐Wah Wai, Lilly Li, Zicong Hong, Song Guo, Zong‐Hao Ma, Yongping Zheng, Ming Zhang, Nicholas Chow, Jianing Zhang, Xiaoling Hu, Fei Chen, Waisang Poon   +16 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning

, 2022
Kassymzhomart Kunanbayev, Donggon Jang, Jeong‐Won Lee, Dae‐Shik Kim   +3 more
openalex   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

A W-Shaped Self-Supervised Computational Ghost Imaging Restoration Method for Occluded Targets

Sensors
We developed a novel method based on self-supervised learning to improve the ghost imaging of occluded objects. In particular, we introduced a W-shaped neural network to preprocess the input image and enhance the overall quality and efficiency of the ...
Yu Wang, Xiaoqian Wang, Chao Gao, Zhuo Yu, Hong Wang, Huan Zhao, Zhihai Yao   +6 more
doaj   +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

Enhancing Few-Shot Image Classification With a Multi-Faceted Self-Supervised and Contrastive Learning Approach

IEEE Access
One effective approach for solving few-shot classification is learning deep representations that measure the similarity between query images and a few support images of specific categories.
Ling Hu, Wei Wu
doaj   +1 more source