Results 61 to 70 of about 129,201 (249)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

open access: yesAdvanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang   +5 more
wiley   +1 more source

Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms

open access: yesSistemasi: Jurnal Sistem Informasi
Waste type classification remains a daily challenge in modern waste management. Proper waste classification contributes significantly to environmental protection and enhances the efficiency of the recycling process.
Ariza Ikhlas, Billy Hendrik
doaj   +1 more source

Pneumonia Classification of Thorax Images using Convolutional Neural Networks

open access: yesInform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2020
The digital image processing technique is a product of computing technology development. Medical image data processing based on a computer is a product of computing technology development that can help a doctor to diagnose and observe a patient.
Mahmud Suyuti, Endang Setyati
doaj   +1 more source

CNN+CNN: Convolutional Decoders for Image Captioning

open access: yes, 2018
Image captioning is a challenging task that combines the field of computer vision and natural language processing. A variety of approaches have been proposed to achieve the goal of automatically describing an image, and recurrent neural network (RNN) or long-short term memory (LSTM) based models dominate this field.
Wang, Qingzhong, Chan, Antoni B.
openaire   +2 more sources

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced 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

IDM based on image classification with CNN

open access: yesThe Journal of Engineering, 2019
Distributed generation (DG) has seen tremendous growth to meet the needs of ever-increasing energy demand. Most of these distributed sources are renewable in nature and connected at the consumer end.
Santhosh K.G. Manikonda   +1 more
doaj   +1 more source

CNN

open access: yes, 2016
Ted Turner launched Cable News Network (CNN), the world’s first twenty-four-hour news channel, in 1980. Broadcast network journalists and media pundits initially dismissed CNN as the “Chicken Noodle Network,” pointing to its poor production values and small audience share.
openaire   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy