| 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 | 120 | 2020 |
| A Smartphone-Based Adaptive Recognition and Real-Time Monitoring System for Human Activities W Qi*, H Su, A Aliverti IEEE Transactions on Human-Machine Systems, 2020 | 106 | 2020 |
| 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 | 91 | 2020 |
| 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 | 79 | 2019 |
| 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 | 67 | 2021 |
| A Multimodal Wearable System for Continuous and Real-time Breathing Pattern Monitoring During Daily Activity W Qi*, A Aliverti IEEE Journal of Biomedical and Health Informatics, 2019 | 64 | 2019 |
| 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 | 53 | 2020 |
| 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 | 50 | 2020 |
| 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 | 48 | 2019 |
| A cybertwin based multimodal network for ecg patterns monitoring using deep learning W Qi, H Su IEEE Transactions on Industrial Informatics 18 (10), 6663-6670, 2022 | 43 | 2022 |
| 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 | 37 | 2021 |
| 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 | 31 | 2022 |
| 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 | 30 | 2020 |
| 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 | 30 | 2019 |
| 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 | 29 | 2021 |
| A human activity-aware shared control solution for medical human–robot interaction H Su, W Qi*, Y Schmirander, SE Ovur, S Cai, X Xiong Assembly Automation, 2022 | 27 | 2022 |
| Novel design and lateral stability tracking control of a four-wheeled rollator X Zhang, J Li, Z Hu, W Qi, L Zhang, Y Hu, H Su, G Ferrigno, ED Momi Applied Sciences 9 (11), 2327, 2019 | 24 | 2019 |
| 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 | 21 | 2020 |
| 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 | 16 | 2021 |
| 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 | 15 | 2021 |
Giancarlo FerrignoProfessor of Biomedical Engineering, NearLab, DEIB, Politecnico di MilanoEmail verificata su polimi.it
