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Outputs (190)

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.

Long-term bio-power of ceramic microbial fuel cells in individual and stacked configurations (2020)
Journal Article
Gajda, I., Obata, O., Jose Salar-Garcia, M., Greenman, J., & Ieropoulos, I. A. (2020). Long-term bio-power of ceramic microbial fuel cells in individual and stacked configurations. Bioelectrochemistry, 133, Article 107459. https://doi.org/10.1016/j.bioelechem.2020.107459

© 2020 The Authors In order to improve the potential of Microbial Fuel Cells (MFCs) as an applicable technology, the main challenge is to engineer practical systems for bioenergy production at larger scales and to test how the prototypes withstand th... Read More about Long-term bio-power of ceramic microbial fuel cells in individual and stacked configurations.

Grasping force prediction based on sEMG signals (2020)
Journal Article
Ma, R., Zhang, L., Li, G., Jiang, D., Xu, S., & Chen, D. (2020). Grasping force prediction based on sEMG signals. Alexandria Engineering Journal, 59(3), 1135-1147. https://doi.org/10.1016/j.aej.2020.01.007

In order to realize the force control, when the prosthetic hand grasps the object, the forearm electromyography signal is collected by the multi-channel surface electromyography (sEMG) acquisition system. The grasping force information of the human h... Read More about Grasping force prediction based on sEMG signals.

Development of efficient electroactive biofilm in urine-fed microbial fuel cell cascades for bioelectricity generation (2020)
Journal Article
Obata, O., Salar-Garcia, M. J., Greenman, J., Kurt, H., Chandran, K., & Ieropoulos, I. (2020). Development of efficient electroactive biofilm in urine-fed microbial fuel cell cascades for bioelectricity generation. Journal of Environmental Management, 258, Article 109992. https://doi.org/10.1016/j.jenvman.2019.109992

The Microbial fuel cell (MFC) technology harnesses the potential of some naturally occurring bacteria for electricity generation. Digested sludge is commonly used as the inoculum to initiate the process. There are, however, health hazards and practic... Read More about Development of efficient electroactive biofilm in urine-fed microbial fuel cell cascades for bioelectricity generation.

A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing (2020)
Journal Article
Gasser, A., Eveness, J., Kiely, J., Attwood, D., & Luxton, R. (2020). A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing. Bioelectrochemistry, 133, 107448. https://doi.org/10.1016/j.bioelechem.2019.107448

© 2019 We report on a novel impedance spectroscopy measurement and data analysis technique for cytotoxicity testing. The technique combines non-contact measurement with real-time impedance data analysis based on the toxin dose dependency of the outpu... Read More about A non-contact impedimetric biosensing system for classification of toxins associated with cytotoxicity testing.

U -Model-Based Finite-Time Control for Nonlinear Valve-Controlled Hydraulic Servosystem (2020)
Journal Article
Yan, H., Li, J., Nouri, H., & Xu, L. (2020). U -Model-Based Finite-Time Control for Nonlinear Valve-Controlled Hydraulic Servosystem. Mathematical Problems in Engineering, 2020, 1-12. https://doi.org/10.1155/2020/7083639

© 2020 Hao Yan et al. Valve-controlled servosystems are widely used in dynamic tracking, but, not properly studied, nonlinearity, perturbation of internal parameters, and external disturbance have significant impacts on the control performance and ch... Read More about U -Model-Based Finite-Time Control for Nonlinear Valve-Controlled Hydraulic Servosystem.

Stability Analysis and Bidirectional Vibration Control of Structure (2020)
Conference Proceeding
Paul, S., Yu, W., & Jafari, R. (2020). Stability Analysis and Bidirectional Vibration Control of Structure. https://doi.org/10.1007/978-981-15-1404-3_23

© Springer Nature Singapore Pte Ltd 2020. In the area of vibration control associated with structures, proportional-integral-derivative (PID) is considered to be an effective controller for the vibration attenuation scheme. Although the researchers p... Read More about Stability Analysis and Bidirectional Vibration Control of Structure.

Disability rights and robotics: Co-producing futures (2020)
Report
Curran, T., Savage, S., Gibson, A., Clarke, J., Morgan, S., Edwards, K., …Comandur, K. (2020). Disability rights and robotics: Co-producing futures. University of the West of England

This project brought together a team of 25 co-researchers from the University of the West of England, Fairfield Farm College and Wiltshire Centre of Independent Living. The co-researchers are a diverse group including disabled people, carers, student... Read More about Disability rights and robotics: Co-producing futures.