Results 81 to 90 of about 4,817,492 (231)

Morphological edge enhancement and bottleneck layers for robust underwater object detection

Egyptian Informatics Journal
Underwater object detection is particularly challenging due to the inherent distortions, scattering, and light attenuation present in aquatic environments, which degrade visual clarity and impact detection accuracy.
Vasanthi Ponduri, Sumanth kumar Panguluri, D Vidyanadha Babu, Jammisetty Yedukondalu, Lakshmi Prasanna Kothala, Chandana Gowri Doddi   +5 more
doaj   +1 more source

Dynamic YOLO for small underwater object detection

Artificial Intelligence Review
AbstractThe practical application of object detection inevitably encounters challenges posed by small objects. In underwater object detection, a crucial method for marine exploration, the presence of small objects in underwater environments significantly hampers the performance of detection.
Jie Chen 0094, Meng Joo Er
openaire   +2 more sources

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Joint Inference of Image Enhancement and Object Detection via Cross-Domain Fusion Transformer

Computers
Underwater vision is fundamental to ocean exploration, yet it is frequently impaired by underwater degradation including low contrast, color distortion and blur, thereby presenting significant challenges for underwater object detection (UOD).
Bingxun Zhao, Yuan Chen
doaj   +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

A diffusion model-based image generation framework for underwater object detection

Communications Engineering
Underwater object detection plays a crucial role in applications such as marine ecological monitoring and underwater rescue operations. However, challenges such as limited underwater data availability and low scene diversity hinder detection accuracy. In
Yaoming Zhuang, Longyu Ma, Jiaming Liu, Yonghao Xian, Baoquan Chen, Li Li, Chengdong Wu, Wei Cui, Zhanlin Liu   +8 more
doaj   +1 more source

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +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

Edge‐guided representation learning for underwater object detection

CAAI Transactions on Intelligence Technology
Abstract Underwater object detection (UOD) is crucial for marine economic development, environmental protection, and the planet's sustainable development. The main challenges of this task arise from low‐contrast, small objects, and mimicry of aquatic organisms.
Linhui Dai, Hong Liu 0008, Pinhao Song, Hao Tang 0005, Runwei Ding, Shengquan Li 0001   +5 more
openaire   +4 more sources

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