Outputs (31)

Learning compliant robotic movements based on biomimetic motor adaptation (2020)
Journal Article
Zeng, C., Chen, X., Wang, N., & Yang, C. (2021). Learning compliant robotic movements based on biomimetic motor adaptation. Robotics and Autonomous Systems, 135, Article 103668. https://doi.org/10.1016/j.robot.2020.103668

It is one of the great challenges for a robot to learn compliant movements in interaction tasks. The robot can easily acquire motion skills from a human tutor by kinematics demonstration, however, this becomes much more difficult when it comes to the... Read More about Learning compliant robotic movements based on biomimetic motor adaptation.

Neural learning enhanced variable admittance control for human-robot collaboration (2020)
Journal Article
Chen, X., Wang, N., Cheng, H., & Yang, C. (2020). Neural learning enhanced variable admittance control for human-robot collaboration. IEEE Access, 8, 25727-25737. https://doi.org/10.1109/access.2020.2969085

© 2013 IEEE. In this paper, we propose a novel strategy for human-robot impedance mapping to realize an effective execution of human-robot collaboration. The endpoint stiffness of the human arm impedance is estimated according to the configurations o... Read More about Neural learning enhanced variable admittance control for human-robot collaboration.

A framework of hybrid force/motion skills learning for robots (2020)
Journal Article
Wang, N., Chen, C., & Nuovo, A. D. (2021). A framework of hybrid force/motion skills learning for robots. IEEE Transactions on Cognitive and Developmental Systems, 13(1), 162-170. https://doi.org/10.1109/tcds.2020.2968056

Human factors and human-centered design philosophy are highly desired in today's robotics applications such as human-robot interaction (HRI). Several studies showed that endowing robots of human-like interaction skills can not only make them more lik... Read More about A framework of hybrid force/motion skills learning for robots.

A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller (2019)
Journal Article
Wang, N., Chen, C., & Yang, C. (2020). A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller. Neurocomputing, 390, 260-267. https://doi.org/10.1016/j.neucom.2019.04.100

© 2019 Elsevier B.V. Robot learning from demonstration (LfD) enables robots to be fast programmed. This paper presents a novel LfD framework involving a teaching phase, a learning phase and a reproduction phase, and proposes methods in each of these... Read More about A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller.

Temporal patterns in multi-modal social interaction between elderly users and service robot (2019)
Journal Article
Wang, N., Di Nuovo, A., Cangelosi, A., & Jones, R. (2019). Temporal patterns in multi-modal social interaction between elderly users and service robot. Interaction Studies, 20(1), 4-24. https://doi.org/10.1075/is.18042.wan

Social interaction, especially for older people living alone is a challenge currently facing human-robot interaction (HRI). There has been little research on user preference towards HRI interfaces. In this paper, we took both objective observations a... Read More about Temporal patterns in multi-modal social interaction between elderly users and service robot.

A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System (2019)
Journal Article
Luo, J., Liu, C., Wang, N., & Yang, C. (2019). A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System. IEEE Access, 7, 143912-143920. https://doi.org/10.1109/ACCESS.2019.2945674

© 2013 IEEE. Performance of teleoperation can be greatly influenced by time delay in the process of tele-manipulation with respect to accuracy and transparency. Wave variable is an effective algorithm to achieve a good stable capability. However, som... Read More about A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System.

Exploration of muscle fatigue effects in bioinspired robot learning from sEMG signals (2018)
Journal Article
Wang, N., Xu, Y., Ma, H., & Liu, X. (2018). Exploration of muscle fatigue effects in bioinspired robot learning from sEMG signals. Complexity, 2018(49207), https://doi.org/10.1155/2018/4920750

© 2018 Ning Wang et al. To investigate the effects of muscle fatigue on bioinspired robot learning quality in teaching by demonstration (TbD) tasks, in this work, we propose to first identify the emerging muscle fatigue phenomenon of the human demons... Read More about Exploration of muscle fatigue effects in bioinspired robot learning from sEMG signals.

The multi-modal interface of Robot-Era multi-robot services tailored for the elderly (2017)
Journal Article
Di Nuovo, A., Broz, F., Wang, N., Belpaeme, T., Cangelosi, A., Jones, R., …Dario, P. (2018). The multi-modal interface of Robot-Era multi-robot services tailored for the elderly. Intelligent Service Robotics, 11(1), 109-126. https://doi.org/10.1007/s11370-017-0237-6

© 2017, The Author(s). Socially assistive robotic platforms are now a realistic option for the long-term care of ageing populations. Elderly users may benefit from many services provided by robots operating in different environments, such as providin... Read More about The multi-modal interface of Robot-Era multi-robot services tailored for the elderly.

A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation (2016)
Journal Article
Liang, P., Yang, C., Wang, N., & Li, R. (2016). A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation. Discrete Dynamics in Nature and Society, 2016(689703), https://doi.org/10.1155/2016/6897030

© 2016 Peidong Liang et al. We have developed a new discrete-time algorithm of stiffness extraction from muscle surface electromyography (sEMG) collected from human operator's arms and have applied it for antidisturbance control in robot teleoperatio... Read More about A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation.

Extracting and selecting distinctive EEG features for efficient epileptic seizure prediction (2014)
Journal Article
Wang, N., & Lyu, M. R. (2015). Extracting and selecting distinctive EEG features for efficient epileptic seizure prediction. IEEE Journal of Biomedical and Health Informatics, 19(5), 1648-1659. https://doi.org/10.1109/JBHI.2014.2358640

© 2013 IEEE. This paper presents compact yet comprehensive feature representations for the electroencephalogram (EEG) signal to achieve efficient epileptic seizure prediction performance. The initial EEG feature vectors are formed by acquiring the do... Read More about Extracting and selecting distinctive EEG features for efficient epileptic seizure prediction.