Human-robot collaboration by intention recognition using probabilistic state machines

19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010) ◽

10.1109/raad.2010.5524605 ◽

2010 ◽

Author(s):

Muhammad Awais ◽

Dominik Henrich

Keyword(s):

State Machines ◽

Intention Recognition ◽

Human Robot Collaboration

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Human-Robot Collaboration by Intention Recognition using Deep LSTM Neural Network

2019 IEEE 8th International Conference on Fluid Power and Mechatronics (FPM) ◽

10.1109/fpm45753.2019.9035907 ◽

2019 ◽

Author(s):

Liang Yan ◽

Xiaoshan Gao ◽

Xiongjie Zhang ◽

Suokui Chang

Keyword(s):

Neural Network ◽

Intention Recognition ◽

Human Robot Collaboration

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EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration

Robotics and Computer-Integrated Manufacturing ◽

10.1016/j.rcim.2021.102137 ◽

2021 ◽

Vol 70 ◽

pp. 102137

Author(s):

Achim Buerkle ◽

William Eaton ◽

Niels Lohse ◽

Thomas Bamber ◽

Pedro Ferreira

Keyword(s):

Arm Movement ◽

Intention Recognition ◽

Human Robot Collaboration ◽

Movement Intention

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Intention Recognition with Recurrent Neural Networks for Dynamic Human-Robot Collaboration

10.1109/icar53236.2021.9659473 ◽

2021 ◽

Author(s):

Matija Mavsar ◽

Miha Denisa ◽

Bojan Nemec ◽

Ales Ude

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Intention Recognition ◽

Human Robot Collaboration

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Transfer Learning - Based Intention Recognition of Human Upper Limb in Human - Robot Collaboration

10.1007/978-3-030-89098-8_55 ◽

2021 ◽

pp. 586-595

Author(s):

Mengchao Dong ◽

Jinzhu Peng ◽

Shuai Ding ◽

Zhiqiang Wang

Keyword(s):

Transfer Learning ◽

Intention Recognition ◽

Human Robot Collaboration ◽

Human Upper Limb

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Recurrent convolutional networks based intention recognition for human-robot collaboration tasks

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2017.8122856 ◽

2017 ◽

Author(s):

Zhichao Wang ◽

Bin Wang ◽

Hong Liu ◽

Zhaodan Kong

Keyword(s):

Convolutional Networks ◽

Intention Recognition ◽

Human Robot Collaboration

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Towards Symbiotic Human-Robot Collaboration: Human Movement Intention Recognition with an EEG

10.31256/ukras19.14 ◽

2019 ◽

Author(s):

Achim Buerkle ◽

Niels Lohse ◽

Pedro Ferreira

Keyword(s):

Human Movement ◽

Intention Recognition ◽

Human Robot Collaboration ◽

Movement Intention

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Hybrid Recurrent Neural Network Architecture-Based Intention Recognition for Human-Robot Collaboration

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3106543 ◽

2021 ◽

pp. 1-9

Author(s):

Xiaoshan Gao ◽

Liang Yan ◽

Gang Wang ◽

Chris Gerada

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Network Architecture ◽

Neural Network Architecture ◽

Intention Recognition ◽

Human Robot Collaboration

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Formal Verification of Analysis Approach for Enterprise Information Systems Architecture Using Hypergraph Representation Based on Finite State Machines for Supporting Business Process Requirements

Journal of Applied Business and Economics ◽

10.33423/jabe.v22i9.3686 ◽

2020 ◽

Vol 22 (9) ◽

Keyword(s):

Information Systems ◽

Formal Verification ◽

Business Process ◽

Analysis Approach ◽

State Machines ◽

Enterprise Information ◽

Systems Architecture ◽

Enterprise Information Systems ◽

Finite State ◽

Information Systems Architecture

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ERROR LOCALIZATION DIAGNOSTIC MODEL OPTIMIZATION IN DIGITAL STATE MACHINES NETWORKS

CAD/EDA, MODELING AND SIMULATION IN MODERN ELECTRONICS: COLLECTION OF SCIENTIFIC PAPERS OF THE III INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE ◽

10.30987/conferencearticle_5e028212131127.16516091 ◽

2019 ◽

Author(s):

Irina Bystrova ◽

E. Danil'chuk ◽

Boris Podkopaev

Keyword(s):

Single Component ◽

Diagnostic Model ◽

State Machines ◽

Model Optimization ◽

Error Localization ◽

Diagnostic Models

The problem of constructing a diagnostic model for a network S consisting of a number of digital automata is considered, provided that the diagnostic models of all network components are known. It is assumed that these models are given by systems of logical equations, and the errors to be detected are localized in any but a single component of the network.

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Implementation of an Augmented Reality AR Workflow for Human Robot Collaboration in Timber Prefabrication

10.22260/isarc2019/0164 ◽

2019 ◽

Author(s):

Ondrej Kyjanek ◽

Bahar Al Bahar ◽

Lauren Vasey ◽

Benedikt Wannemacher ◽

Achim Menges

Keyword(s):

Augmented Reality ◽

Human Robot Collaboration

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