Results 61 to 70 of about 297,664 (309)

Schematic workflow of proposed GL-CNN-based model.

, 2023
Schematic workflow of proposed GL-CNN-based model.
Xiao-Jun Zeng (298542), Sunday Adeola Ajagbe (16819551), R. Rajmohan (16819548), T. Ananth Kumar (16819545), Fatma Masmoudi (16819554), Tarek Gaber (11949252)   +5 more
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Bubble Evolution Detector B.E.D. – A Neural Network-Based Approach to Accurately Detect, Classify, and Evaluate Gas Bubbles Captured by A High-Speed Camera on Textured Surfaces

Journal of Open Research Software
Gas bubble emergence is an important indicator of the performance in many processes, for example electrochemical reactions. Using a convolutional neural network (CNN) based on the Darknet/YOLO4-architecture; this software allows the detection and ...
Lukas Lentz, Dorian Hüne, Sebastian Handrich, Christoph Niems, Thomas Gimpel   +4 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

CNN Soil Texture Classification

, 2020
What's Changed ADD python versions 3.9 and 3.10, remove 3.6 by @felixriese in https://github.com/felixriese/CNN-SoilTextureClassification/pull/3 Full Changelog: https://github.com/felixriese/CNN-SoilTextureClassification/compare/v1.1...v1.1.1If you use
Riese, Felix M.
core   +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

Health condition prediction method of the computer numerical control machine tool parts by ensembling digital twins and improved LSTM networks

Nonlinear Engineering
The advent of digital twin technology has precipitated a surge of interest in its implementation within the manufacturing sector, particularly with respect to enhancing productivity and mitigating the risk of equipment failure.
Chen Guo, Yin Haifang
doaj   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Location Augmentation for CNN

CoRR, 2018
CNNs have made a tremendous impact on the field of computer vision in the last several years. The main component of any CNN architecture is the convolution operation, which is translation invariant by design. However, location in itself can be an important cue.
Zhenyi Wang 0001, Olga Veksler
openaire   +2 more sources