Learn to learn human learning process from teleoperated demonstrations

Project Information

L3TD

Grant agreement ID: 101030691

DOI

10.3030/101030691

Project closed

EC signature date 12 April 2021

Start date 1 July 2021

End date 31 December 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 168 700,32

EU contribution

€ 168 700,32

Coordinated by

UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL
United Kingdom

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (4)

A Novel Dynamic Movement Primitives-based Skill Learning and Transfer Framework for Multi-Tool Use

Author(s): Zhenyu Lu; Ning Wang; Miao Li; Chenguang Yang
Published in: 2022 IEEE 17th International Conference on Control & Automation (ICCA), 2022
Publisher: IEEE Xplore
DOI: 10.1109/icca54724.2022.9831826

Fixed-time Adaptive Neural Control for Robot Manipulators with Input Saturation and Disturbance

Author(s): Haiqi Huang; Zhenyu Lu; Ning Wang; Chenguang Yang
Published in: International Conference on Automation and Computing (ICAC), 2022
Publisher: IEEE
DOI: 10.1109/icac55051.2022.9911082

Novel Gripper-like Exoskeleton Design for Robotic Grasping based on Learning from Demonstration

Author(s): Hengtai Dai; Zhenyu Lu; Mengyuan He; Chenguang Yang
Published in: International Conference on Automation and Computing (ICAC), 2022
Publisher: IEEE
DOI: 10.1109/icac55051.2022.9911096

A Modified LSTM Model for Chinese Sign Language Recognition Using Leap Motion

Author(s): Bixiao Wu; Zhenyu Lu; Chenguang Yang
Published in: IEEE International Conference on Systems, Man, and Cybernetics (SMC), Issue 18 November 2022, 2022
Publisher: ieee xplore
DOI: 10.1109/smc53654.2022.9945287

Peer reviewed articles (4)

An Adaptive Fuzzy Control for Human-in-the-Loop Operations With Varying Communication Time Delays

Author(s): Zhenyu Lu; Yuan Guan; Ning Wang
Published in: IEEE Robotics and Automation Letters, Issue Volume: 7, Issue: 2, 2022, ISSN 2377-3766
Publisher: IEEE Xplore
DOI: 10.1109/lra.2022.3158540

Incremental Motor Skill Learning and Generalization from Human Dynamic Reactions based on Dynamic Movement Primitives and Fuzzy Logic System

Author(s): Zhenyu Lu; Ning Wang; Miao Li; Chenguang Yang
Published in: IEEE Transactions on Fuzzy Systems, 2021, ISSN 1063-6706
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tfuzz.2021.3136933

A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control

Author(s): Zhenyu Lu; Ning Wang; Qinchuan Li; Chenguang Yang
Published in: Neurocomputing, 2023, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/j.neucom.2022.11.076

Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks: Creating an Incremental and Explainable Neural Network With Functional Linkage

Author(s): Zhenyu Lu; Ning Wang
Published in: IEEE Robotics & Automation Magazine, Issue 10709932, 2022, ISSN 1070-9932
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2022.3188218