Results 261 to 270 of about 34,708 (330)

Robot Fish: Bio-inspired Fishlike Underwater Robots

Underwater Technology, 2017
openaire   +1 more source

Seafood Object Detection Method Based on Improved YOLOv5s. [PDF]

Sensors (Basel)
Zhu N, Liu Z, Wang Z, Xie Z.
europepmc   +1 more source

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Advanced Intelligent Systems, EarlyView.
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley   +1 more source

ROV dynamic modeling and grasping algorithm for underwater control system of marine oil and gas. [PDF]

Sci Rep
Li Y, Li S, Li Y.
europepmc   +1 more source

Remora‐Inspired Sensing Suction Cup with Adhesion Monitoring and Force Detection

Advanced Intelligent Systems, EarlyView.
A suction cup with integrated liquid metal microchannel sensors enables stable multidirectional force sensing and adhesion monitoring in both air and water. The flexible resistive sensors, placed on the outer lip, transduce deformations into resistance changes under normal and shear loads.
Yuchen Liu, Bocheng Tian, Feiyang Yuan, Lei Li, Yinuo Cheng, Fuqiang Yang, Youning Duo, Li Wen   +7 more
wiley   +1 more source

A bioinspired multimotion modality underwater microrobot. [PDF]

Sci Adv
Liu T, Liu Y, Zeng R, Gan B, Zhang M, Li H, Qu S, Zhou H.   +7 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools

, 2009
Syed Junaid Nawaz, Muzammil Hussain, Simon Watson, Niki Trigoni, Peter Green   +4 more
openalex   +1 more source

Planned synchronization for multi-robot systems with active observations. [PDF]

Auton Robots
Zhong P, Rossi F, Shell DA.
europepmc   +1 more source

Ultra‐Efficient Kidney Stone Fragment Removal via Spinner‐Induced Synergistic Circulation and Spiral Flow

Advanced Intelligent Systems, EarlyView.
Leveraging spinning‐induced localized suction, the spinner device enables ultra‐efficient removal of kidney stone fragments, capturing a larger quantity of fragments from distances exceeding 20 mm. The spinner significantly improves the efficiency and effectiveness of stone fragment removal by reducing operative time, increasing stone‐free rates, and ...
Yilong Chang, Jasmine Guadalupe Vallejo, Yangqing Sun, Ruike Renee Zhao   +3 more
wiley   +1 more source