Results 141 to 150 of about 204,781 (309)
Gradient-Based Pooling for Convolutional Neural Networks [PDF]
, 2019 Pooling layers are an important part of convolutional neural networks (CNNs). They reduce the dimensionality of feature maps and pass salient information to subsequent layers. In this paper, we introduce a novel gradient-based feature pooling method that
Gao, Y +5 more
core +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 +2 more
wiley +1 more source
Learning temporal information for brain-computer interface using convolutional neural networks [PDF]
, 2018 Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems.
Sakhavi, Siavash +5 more
core +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced 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
Pojazdy SzynoweThe article presents the application of convolutional neural networks (CNN) for the classification of electrical resistance measurements of railway wheelsets.
Tomasz Paweł Olejniczak
doaj +1 more source
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Augmenting convolutional neural networks with kernels inspired by the early visual system [PDF]
, 2022 openEarly neural networks were inspired by biology: the McCulloch-Pitts neuron, the Perceptron and the Neocognitron were all attempting to imitate the functioning of the brain.
ROVOLETTO, MATTEO BRUNO
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Application of wavelets and artificial neural network for indoor optical wireless communication systems [PDF]
This study investigates the use of error control code, discrete wavelet transform (DWT) and artificial neural network (ANN) to improve the link performance of an indoor optical wireless communication in a physical channel.
Rajbhandari, Sujan
core
Convolutional Neural Networks [PDF]
, 2018 This thesis deals with convolutional neural networks. It is a kind of deep neural networks that are presently widely used mainly for image recognition and natural language processing.
Lietavcová, Zuzana
core