Cikkek nyilvánosan hozzáférhető megbízással - Wen QiTovábbi információ
Sehol sem hozzáférhető: 9
Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network
W Qi, SE Ovur, Z Li, A Marzullo, R Song
IEEE Robotics and Automation Letters 6 (3), 6039-6045, 2021
Megbízások: National Natural Science Foundation of China
Fuzzy Approximation-based Task-Space Control of Robot Manipulators with Remote Center of Motion Constraint
H Su, W Qi*, J Chen, D Zhang
IEEE Transactions on Fuzzy Systems 30 (6), 1564-1573, 2022
Megbízások: UK Engineering and Physical Sciences Research Council
Parallel structure of six wheel-legged robot trajectory tracking control with heavy payload under uncertain physical interaction
J Li, J Wang, S Wang, H Peng, B Wang, W Qi, L Zhang, H Su
Assembly Automation 40 (5), 675-687, 2020
Megbízások: National Natural Science Foundation of China
Neural approximation-based model predictive tracking control of non-holonomic wheel-legged robots
J Li, J Wang, S Wang, W Qi, L Zhang, Y Hu, H Su
International Journal of Control, Automation and Systems 19 (1), 372-381, 2021
Megbízások: National Natural Science Foundation of China
A novel muscle-computer interface for hand gesture recognition using depth vision
X Zhou, W Qi, SE Ovur, L Zhang, Y Hu, H Su, G Ferrigno, E De Momi
Journal of Ambient Intelligence and Humanized Computing 11, 5569-5580, 2020
Megbízások: European Commission
A vision-based virtual fixture with robot learning for teleoperation
J Luo, W Liu, W Qi, J Hu, J Chen, C Yang
Robotics and Autonomous Systems 164, 104414, 2023
Megbízások: National Natural Science Foundation of China
Fuzzy-Based Optimization and Control of a Soft Exosuit for Compliant Robot–Human–Environment Interaction
Q Li, W Qi, Z Li, H Xia, Y Kang, L Cheng
IEEE Transactions on Fuzzy Systems 31 (1), 241-253, 2022
Megbízások: National Natural Science Foundation of China
A 3d-CLDNN based multiple data fusion framework for finger gesture recognition in human-robot interaction
W Qi, H Fan, Y Xu, H Su, A Aliverti
2022 4th international conference on control and robotics (ICCR), 383-387, 2022
Megbízások: National Natural Science Foundation of China
Human Activity Recognition Enhanced Robot-Assisted Minimally Invasive Surgery
H Su, W Qi, C Yang, J Li, X Zhou, G Ferrigno, E De Momi
International Conference on Robotics in Alpe-Adria Danube Region, 121-129, 2020
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
Valahol hozzáférhető: 19
Deep neural network approach in robot tool dynamics identification for bilateral teleoperation
H Su, W Qi, C Yang, J Sandoval, G Ferrigno, E De Momi
IEEE Robotics and Automation Letters 5 (2), 2943-2949, 2020
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
An incremental learning framework for human-like redundancy optimization of anthropomorphic manipulators
H Su, W Qi*, Y Hu, HR Karimi, G Ferrigno, E De Momi
IEEE Transactions on Industrial Informatics, 2020
Megbízások: European Commission
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
W Qi, H Su, C Yang, G Ferrigno, E De Momi, A Aliverti
Sensors 19 (17), 3731, 2019
Megbízások: UK Engineering and Physical Sciences Research Council
Deep neural network approach in human-like redundancy optimization for anthropomorphic manipulators
H Su, W Qi, C Yang, A Aliverti, G Ferrigno, E De Momi
IEEE Access 7, 124207-124216, 2019
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
Deep neural network approach in EMG-based force estimation for human–robot interaction
H Su, W Qi, Z Li, Z Chen, G Ferrigno, E De Momi
IEEE Transactions on Artificial Intelligence 2 (5), 404-412, 2021
Megbízások: National Natural Science Foundation of China
Depth vision guided hand gesture recognition using electromyographic signals
H Su, SE Ovur, X Zhou, W Qi*, G Ferrigno, E De Momi
Advanced Robotics, 1-13, 2020
Megbízások: European Commission
Deep C-LSTM neural network for epileptic seizure and tumor detection using high-dimension EEG signals
Y Liu, YX Huang, X Zhang, W Qi, J Guo, Y Hu, L Zhang, H Su
IEEE Access 8, 37495-37504, 2020
Megbízások: National Natural Science Foundation of China
An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming
W Qi, H Fan, HR Karimi, H Su
Neural Networks 164, 489-496, 2023
Megbízások: Government of Italy
A novel autonomous learning framework to enhance sEMG-based hand gesture recognition using depth information
SE Ovur, X Zhou, W Qi, L Zhang, Y Hu, H Su, G Ferrigno, E De Momi
Biomedical Signal Processing and Control 66, 102444, 2021
Megbízások: European Commission
Towards model-free tool dynamic identification and calibration using multi-layer neural network
H Su, W Qi*, Y Hu, J Sandoval, L Zhang, Y Schmirander, G Chen, ...
Sensors 19 (17), 3636, 2019
Megbízások: European Commission
Novel Adaptive Sensor Fusion Methodology for Hand Pose Estimation with Multi-Leap Motion
EO Salih, H Su, W Qi, G Ferrigno, ED Momi
IEEE Transactions on Instrumentation & Measurement, 2021
Megbízások: European Commission
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