Cargando…

An online human–robot collaborative grinding state recognition approach based on contact dynamics and LSTM

Collaborative state recognition is a critical issue for physical human–robot collaboration (PHRC). This paper proposes a contact dynamics-based state recognition method to identify the human–robot collaborative grinding state. The main idea of the proposed approach is to distinguish between the huma...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Shouyan, Sun, Xinqi, Zhao, Zhijia, Xiao, Meng, Zou, Tao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478666/ https://www.ncbi.nlm.nih.gov/pubmed/36119715 http://dx.doi.org/10.3389/fnbot.2022.971205

Ejemplares similares

The Impact of Attention Mechanisms on Speech Emotion Recognition
por: Chen, Shouyan, et al.
Publicado: (2021)

Emotion Recognition Based on Dynamic Energy Features Using a Bi-LSTM Network
por: Zhu, Meili, et al.
Publicado: (2022)

Device for Contact Measurement of Turbine Blade Geometry in Robotic Grinding Process
por: Szybicki, Dariusz, et al.
Publicado: (2020)

Dynamic Gesture Recognition Model Based on Millimeter-Wave Radar With ResNet-18 and LSTM
por: Zhang, Yongqiang, et al.
Publicado: (2022)

A touch-free human-robot collaborative surgical navigation robotic system based on hand gesture recognition
por: Wang, Jie, et al.
Publicado: (2023)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots
por: Papanagiotou, Dimitris, et al.
Publicado: (2021)

A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis
por: Xu, Gaowei, et al.
Publicado: (2020)

Multimodal intelligent logistics robot combining 3D CNN, LSTM, and visual SLAM for path planning and control
por: Han, Zhuqin
Publicado: (2023)

Investigating the Effect of Grinding Time on High-Speed Grinding of Rails by a Passive Grinding Test Machine
por: Liu, Pengzhan, et al.
Publicado: (2022)

A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO(2) Welding
por: Liu, Tianyuan, et al.
Publicado: (2018)

Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm
por: Song, Yang, et al.
Publicado: (2022)

Dynamic Neural State Identification in Deep Brain Local Field Potentials of Neuropathic Pain
por: Luo, Huichun, et al.
Publicado: (2018)

Shaping Soft Robotic Microactuators by Wire Electrical Discharge Grinding
por: Milana, Edoardo, et al.
Publicado: (2020)

The Quality of Surgical Instrument Surfaces Machined with Robotic Belt Grinding
por: Hamrol, Adam, et al.
Publicado: (2023)

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task
por: Jirak, Doreen, et al.
Publicado: (2022)

Learning Semantics of Gestural Instructions for Human-Robot Collaboration
por: Shukla, Dadhichi, et al.
Publicado: (2018)

Editorial: Active Vision and Perception in Human-Robot Collaboration
por: Ognibene, Dimitri, et al.
Publicado: (2022)

Training LSTM Networks With Resistive Cross-Point Devices
por: Gokmen, Tayfun, et al.
Publicado: (2018)

Return Strategy and Machine Learning Optimization of Tennis Sports Robot for Human Motion Recognition
por: Wang, Yuxuan, et al.
Publicado: (2022)

A Robotic grinding station based on an industrial manipulator and vision system
por: Wan, Guoyang, et al.
Publicado: (2021)

Research on Surface Tracking and Constant Force Control of a Grinding Robot
por: Shi, Xiaohua, et al.
Publicado: (2023)

Sensor-Based Control for Collaborative Robots: Fundamentals, Challenges, and Opportunities
por: Cherubini, Andrea, et al.
Publicado: (2021)

Editorial: Neural Interface for Cognitive Human-Robot Interaction and Collaboration
por: Huang, Rui, et al.
Publicado: (2022)

Editorial: Collaborative interaction and control for intelligent human-robot systems
por: Huang, Rui, et al.
Publicado: (2023)

The spike gating flow: A hierarchical structure-based spiking neural network for online gesture recognition
por: Zhao, Zihao, et al.
Publicado: (2022)

An Improvement of Robot Stiffness-Adaptive Skill Primitive Generalization Using the Surface Electromyography in Human–Robot Collaboration
por: Guan, Yuan, et al.
Publicado: (2021)

Open-Environment Robotic Acoustic Perception for Object Recognition
por: Jin, Shaowei, et al.
Publicado: (2019)

A multi-scale robotic tool grasping method for robot state segmentation masks
por: Xue, Tao, et al.
Publicado: (2023)

Editorial: Shared Autonomy— Learning of Joint Action and Human-Robot Collaboration
por: Schilling, Malte, et al.
Publicado: (2019)

Grinding Apparatus
por: Harris, John
Publicado: (1850)

Dynamic Hand Gesture Recognition Using 3DCNN and LSTM with FSM Context-Aware Model
por: Hakim, Noorkholis Luthfil, et al.
Publicado: (2019)

Mathematics and control engineering of grinding technology: ball mill grinding
por: Keviczky, L, et al.
Publicado: (1989)

Development and Experimental Evaluation of a 3D Vision System for Grinding Robot
por: Diao, Shipu, et al.
Publicado: (2018)

An Investigation of Surface Corrosion Behavior of Inconel 718 after Robotic Belt Grinding
por: Wang, Junwei, et al.
Publicado: (2018)

Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks
por: Dinh, Christoph, et al.
Publicado: (2021)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

A New Way of Airline Traffic Prediction Based on GCN-LSTM
por: Yu, Jiangni
Publicado: (2021)

Recognition of musical beat and style and applications in interactive humanoid robot
por: Chu, Yue
Publicado: (2022)

Numerical Investigation on the Effects of Grain Size and Grinding Depth on Nano-Grinding of Cadmium Telluride Using Molecular Dynamics Simulation
por: Liu, Changlin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_hia396dah16oj0hhj528vmq4a6