Results 61 to 70 of about 30,189 (295)

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Long Short-Term Memory Recurrent Neural Network Approach for Approximating Roots (Eigen Values) of Transcendental Equation of Cantilever Beam

Applied Sciences, 2023
In this study, the natural frequencies and roots (Eigenvalues) of the transcendental equation in a cantilever steel beam for transverse vibration with clamped free (CF) boundary conditions are estimated using a long short-term memory-recurrent neural ...
Madiha Bukhsh, Muhammad Saqib Ali, Abdullah Alourani, Khlood Shinan, Muhammad Usman Ashraf, Abdul Jabbar, Weiqiu Chen   +6 more
doaj   +1 more source

Hierarchical recurrent neural network for video summarization

, 2017
Exploiting the temporal dependency among video frames or subshots is very important for the task of video summarization. Practically, RNN is good at temporal dependency modeling, and has achieved overwhelming performance in many video-based tasks, such
Lu, Xiaoqiang, Xiaoqiang Lu, Li, Xuelong, Bin Zhao, Zhao, Bin, Xuelong Li   +5 more
core   +1 more source

Operative dimensions in unconstrained connectivity of recurrent neural networks [PDF]

, 2022
Recurrent Neural Networks (RNN) are commonly used models to study neural computation. However, a comprehensive understanding of how dynamics in RNN emerge from the underlying connectivity is largely lacking.
Mante, Valerio; https://orcid.org/, Krause, Renate Barbara, Indiveri, Giacomo; https://orcid.org/, Cook, Matthew, Kollmorgen, Sepp   +4 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

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, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting

Information, 2020
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated ...
Yepeng Cheng, Zuren Liu, Yasuhiko Morimoto   +2 more
doaj   +1 more source

Methods for Integrating Extraterrestrial Radiation into Neural Network Models for Day-Ahead PV Generation Forecasting

Energies, 2021
Variability, intermittency, and limited controllability are inherent characteristics of photovoltaic (PV) generation that result in inaccurate solutions to scheduling problems and the instability of the power grid.
Seung Chan Jo, Young Gyu Jin, Yong Tae Yoon, Ho Chan Kim   +3 more
doaj   +1 more source

Peramalan Harga Emas Dunia Menggunakan Metode Recurrent Neural Network (RNN) [PDF]

, 2020
Pertumbuhan ekonomi suatu negara sangat dipengaruhi oleh peningkatan investasi pada negara tersebut. Masyarakat kecil maupun atas menggemari investasi karena dapat menjadi pemasukan tambahan bagi investor.
Dewi, Ludia Rosema
core  

RNN-LSTM abstract schematic.

, 2023
Music performance action generation can be applied in multiple real-world scenarios as a research hotspot in computer vision and cross-sequence analysis.
Yi Wang (32470)
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source