Results 101 to 110 of about 113,907 (292)

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Hierarchical Sound Event Classification [PDF]

Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), 2019
Eric Nichols, Daniel Tompkins, Jianyu Fan   +2 more
openaire   +2 more sources

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

Application of deep learning algorithms in lung sound classification: A systematic review since 2015 [PDF]

The article systematically explored the application of deep learning for lung sound classification in three popular scientific databases – PubMed, ScienceDirect and IEEE Xplore, for articles published between 2015 and 2024.
Neili, Zakaria, Sundaraj, Kenneth
core   +1 more source

Environmental Sound Classification with Parallel Temporal-Spectral Attention

, 2020
Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC). Recently, temporal attention mechanisms have been used in CNN to capture the useful information from the ...
Wang, Helin, Yuexian Zou, Zou, Yuexian, Dading Chong, Wang, Wenwu, Helin Wang, Wenwu Wang, Chong, Dading   +7 more
core   +2 more sources

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

Sound Classification using Image Feature Extraction Technique [PDF]

, 2019
This paper presents texture feature extractionmethods for sound classification. Nowadays, manyresearchers interest in combination of digital signalprocessing and digital image processing fields to gethigher efficiency.
Thwe, Khine Zar, Thaw, Mie Mie
core  

A scheme to analyze the influence of ocean sound propagation on passive sonar target classification and recognition

AIP Advances
The time-varying, space-varying, and frequency-varying characteristics of the marine environment severely affect the classification and recognition of underwater passive sonar targets.
Chunyu Kang, Liufang Fu, Zhijun Xia, Linzhou Xu, Yi Zhang   +4 more
doaj   +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

AudioProtoPNet: An interpretable deep learning model for bird sound classification

Deep learning models have significantly advanced acoustic bird monitoring by recognizing numerous bird species based on their vocalizations. However, traditional deep learning models are black boxes that provide no insight into their underlying ...
Heinrich, René Patrick Gerald, Rauch, Lukas, Scholz, Christoph, Sick, Bernhard   +3 more
core   +1 more source