| Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results H Su, Y Hu, HR Karimi, A Knoll, G Ferrigno, E De Momi Neural networks 131, 291-299, 2020 | 198 | 2020 |
| Reinforcement learning of manipulation and grasping using dynamical movement primitives for a humanoidlike mobile manipulator Z Li, T Zhao, F Chen, Y Hu, CY Su, T Fukuda IEEE/ASME Transactions on Mechatronics 23 (1), 121-131, 2017 | 192 | 2017 |
| Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot J Li, J Wang, H Peng, Y Hu, H Su IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2491-2500, 2021 | 177 | 2021 |
| 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 18 (3), 1864-1872, 2020 | 134 | 2020 |
| Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction J Li, J Wang, H Peng, L Zhang, Y Hu, H Su Neurocomputing 410, 342-353, 2020 | 133 | 2020 |
| Development of sensory-motor fusion-based manipulation and grasping control for a robotic hand-eye system Y Hu, Z Li, G Li, P Yuan, C Yang, R Song IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1169-1180, 2016 | 79 | 2016 |
| Ankle joint torque estimation using an EMG-driven neuromusculoskeletal model and an artificial neural network model L Zhang, Z Li, Y Hu, C Smith, EMG Farewik, R Wang IEEE Transactions on Automation Science and Engineering 18 (2), 564-573, 2020 | 73 | 2020 |
| Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling Y Hu, J Li, Y Chen, Q Wang, C Chi, H Zhang, Q Gao, Y Lan, Z Li, Z Mu, ... IEEE Robotics and Automation Letters (also presented in ICRA2021), 2021 | 62 | 2021 |
| Internet of things (IoT)-based Collaborative Control of a Redundant Manipulator for Teleoperated Minimally Invasive Surgeries H Su, EO Salih, Z Li, Y Hu, J Li, A Knoll, G Ferrigno, E De Momi IEEE-ICRA 2020, 2020 | 57 | 2020 |
| Evolution strategies learning with variable impedance control for grasping under uncertainty Y Hu, X Wu, P Geng, Z Li IEEE Transactions on Industrial electronics 66 (10), 7788-7799, 2018 | 54 | 2018 |
| 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 | 52 | 2020 |
| 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 | 51 | 2021 |
| Nonlinear model predictive control for mobile medical robot using neural optimization Y Hu, H Su, J Fu, HR Karimi, G Ferrigno, E De Momi, A Knoll IEEE Transactions on Industrial Electronics 68 (12), 12636-12645, 2020 | 51 | 2020 |
| Skill learning strategy based on dynamic motion primitives for human–robot cooperative manipulation J Li, Z Li, X Li, Y Feng, Y Hu, B Xu IEEE Transactions on Cognitive and Developmental Systems 13 (1), 105-117, 2020 | 48 | 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 | 42 | 2021 |
| Robot policy improvement with natural evolution strategies for stable nonlinear dynamical system Y Hu, G Chen, Z Li, A Knoll IEEE Transactions on Cybernetics, 2022 | 41 | 2022 |
| 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, A Aliverti, ... Sensors 19 (17), 3636, 2019 | 36 | 2019 |
| Cooperative manipulation for a mobile dual-arm robot using sequences of dynamic movement primitives T Zhao, M Deng, Z Li, Y Hu IEEE Transactions on Cognitive and Developmental Systems 12 (1), 18-29, 2018 | 33 | 2018 |
| Nonlinear model predictive control for mobile robot using varying-parameter convergent differential neural network Y Hu, H Su, L Zhang, S Miao, G Chen, A Knoll Robotics 8 (3), 64, 2019 | 30 | 2019 |
| NeuroGrasp: multimodal neural network with Euler region regression for neuromorphic vision-based grasp pose estimation H Cao, G Chen, Z Li, Y Hu, A Knoll IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 27 | 2022 |
Alois KnollTechnische Universität München在 in.tum.de 的电子邮件经过验证
