Outputs (105)

Investigation of fracture process zone development in quasi-isotropic carbon/epoxy laminates using in situ and ex situ X-ray Computed Tomography (2022)
Journal Article
Xu, X., Takeda, S. I., & Wisnom, M. R. (2023). Investigation of fracture process zone development in quasi-isotropic carbon/epoxy laminates using in situ and ex situ X-ray Computed Tomography. Composites Part A: Applied Science and Manufacturing, 166, Article 107395. https://doi.org/10.1016/j.compositesa.2022.107395

Trans-laminar fracture toughness is an important property of laminated composites and examining the fracture process zone at the tip of a crack is key to understanding it. To date, little research has been done on in-depth examination of the early fr... Read More about Investigation of fracture process zone development in quasi-isotropic carbon/epoxy laminates using in situ and ex situ X-ray Computed Tomography.

Improved impact damage resistance of tapered composite laminates using a ply scarfing technique (2022)
Journal Article
Gordon, T., Xu, X., Wisnom, M., Hallett, S., & Kim, B. C. (2023). Improved impact damage resistance of tapered composite laminates using a ply scarfing technique. Composites Part A: Applied Science and Manufacturing, 166, 107391. https://doi.org/10.1016/j.compositesa.2022.107391

This paper presents an experimental investigation into the effect of scarfed ply drops on the low velocity impact response of asymmetrically tapered, multi-directional, carbon/epoxy laminates, in comparison with that of conventional ply drops. Impact... Read More about Improved impact damage resistance of tapered composite laminates using a ply scarfing technique.

One-shot domain-adaptive imitation learning via progressive learning applied to robotic pouring (2022)
Journal Article
Zhang, D., Fan, W., Lloyd, J., Yang, C., & Lepora, N. F. (2024). One-shot domain-adaptive imitation learning via progressive learning applied to robotic pouring. IEEE Transactions on Automation Science and Engineering, 21(1), 541 - 554. https://doi.org/10.1109/TASE.2022.3220728

Traditional deep learning-based visual imitation learning techniques require a large amount of demonstration data for model training, and the pre-trained models are difficult to adapt to new scenarios. To address these limitations, we propose a unifi... Read More about One-shot domain-adaptive imitation learning via progressive learning applied to robotic pouring.

A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control (2022)
Journal Article
Lu, Z., Wang, N., Li, Q., & Yang, C. (2023). A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control. Neurocomputing, 521, 146-159. https://doi.org/10.1016/j.neucom.2022.11.076

Due to changes in the environment and errors that occurred during skill initialization, the robot's operational skills should be modified to adapt to new tasks. As such, skills learned by the methods with fixed features, such as the classical Dynamic... Read More about A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control.

Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis (2022)
Journal Article
Arco, L. D., Pontes, M. J., Segatto, M. E. V., Monteiro, M. E., Cifuentes, C. A., & Díaz, C. A. R. (2022). Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis. Journal of Physics: Conference Series, 2407(1), 012010. https://doi.org/10.1088/1742-6596/2407/1/012010

The principal cause of upper limb amputations is due to traumatism. The prosthesis is an assistive device to help in the activities of daily for the amputee person. However, one of the latest reports shows that in developing countries there are aroun... Read More about Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis.

Metal oxide decorated carbon nanocomposite electrodes for propofol monitoring (2022)
Journal Article
Ferrier, D., Kiely, J., & Luxton, R. (2022). Metal oxide decorated carbon nanocomposite electrodes for propofol monitoring. Biosensors and Bioelectronics, 12, Article 100286. https://doi.org/10.1016/j.biosx.2022.100286

Despite the growing evidence of the benefits of total-intravenous anaesthesia using propofol compared to conventional volatile-based anaesthesia, both in terms of environmental impact and patient outcomes, the majority of administered general anaesth... Read More about Metal oxide decorated carbon nanocomposite electrodes for propofol monitoring.

A robotic learning and generalization framework for curved surface based on modified DMP (2022)
Journal Article
Xue, X., Dong, J., Lu, Z., & Wang, N. (2023). A robotic learning and generalization framework for curved surface based on modified DMP. Robotics and Autonomous Systems, 160, 104323. https://doi.org/10.1016/j.robot.2022.104323

How to reproduce and generalize the skills acquired by demonstrating is a hot topic for researchers. (1) A compliant continuous drag demonstration system based on discrete admittance model was designed to continuously and smoothly drag or demonstrate... Read More about A robotic learning and generalization framework for curved surface based on modified DMP.

A neural network based framework for variable impedance skills learning from demonstrations (2022)
Journal Article
Zhang, Y., Cheng, L., Cao, R., Li, H., & Yang, C. (2023). A neural network based framework for variable impedance skills learning from demonstrations. Robotics and Autonomous Systems, 160, 104312. https://doi.org/10.1016/j.robot.2022.104312

Robots are becoming standard collaborators not only in factories, hospitals, and offices, but also in people's homes, where they can play an important role in situations where a human cannot complete a task alone or needs the help of another person (... Read More about A neural network based framework for variable impedance skills learning from demonstrations.

Enhancement of properties of concrete using carbon dioxide: An initiative to curb carbon footprints (2022)
Journal Article
Sinha, P., Hui, S., & Moharana, N. C. (2022). Enhancement of properties of concrete using carbon dioxide: An initiative to curb carbon footprints. IOSR Journal of Mechanical and Civil Engineering, 1(10),

In the present era, the word "Global Warming" needs no further introduction as 72% of the emitted greenhouse gases arecarbon dioxide of which 7%is produced when calcium carbonate is calcinated during the manufacturing of cement. This process is peril... Read More about Enhancement of properties of concrete using carbon dioxide: An initiative to curb carbon footprints.

Educating engineers to contribute to a regional goal of net zero carbon emissions by 2030 (2022)
Journal Article
Fogg-Rogers, L., Bakthavatchaalam, V., Richardson, D., & Fowles-Sweet, W. (2022). Educating engineers to contribute to a regional goal of net zero carbon emissions by 2030. Cahiers COSTECH, 5, Article 133

The environmental and health impacts of climate change and biodiversity loss are now apparent and yet cohesive policymaking to mitigate emissions is moving too slowly. The UK’s target for carbon neutrality has been set for 2050, but this has been sup... Read More about Educating engineers to contribute to a regional goal of net zero carbon emissions by 2030.