All 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.

Modeling peptide nucleic acid binding enthalpies using MM-GBSA (2022)
Journal Article
Goodman, J., Attwood, D., Kiely, J., Coladas Mato, P., & Luxton, R. (2022). Modeling peptide nucleic acid binding enthalpies using MM-GBSA. Journal of Physical Chemistry B, 126(46), 9528-9538. https://doi.org/10.1021/acs.jpcb.2c05547

The binding enthalpies of peptide nucleic acid (PNA) homoduplexes were predicted using a molecular mechanics generalized Born surface area approach. Using the nucleic acid nearest-neighbor model, these were decomposed into sequence parameters which c... Read More about Modeling peptide nucleic acid binding enthalpies using MM-GBSA.

An explorative study on the antimicrobial effects and mechanical properties of 3D printed PLA and TPU surfaces loaded with Ag and Cu against nosocomial and foodborne pathogens (2022)
Journal Article
Εkonomou, S. Ι., Soe, S., & Stratakos, A. C. (2023). An explorative study on the antimicrobial effects and mechanical properties of 3D printed PLA and TPU surfaces loaded with Ag and Cu against nosocomial and foodborne pathogens. Journal of the Mechanical Behavior of Biomedical Materials, 137, 105536. https://doi.org/10.1016/j.jmbbm.2022.105536

Antimicrobial 3D printed surfaces made of PLA and TPU polymers loaded with copper (Cu), and silver (Ag) nanoparticles (NPs) were developed via fused deposition modeling (FDM). The potential antimicrobial effect of the 3D printed surfaces against Esch... Read More about An explorative study on the antimicrobial effects and mechanical properties of 3D printed PLA and TPU surfaces loaded with Ag and Cu against nosocomial and foodborne pathogens.

“It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children (2022)
Journal Article
Lemaignan, S., Newbutt, N., Rice, L., & Daly, J. (in press). “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children. International Journal of Social Robotics, https://doi.org/10.1007/s12369-022-00928-4

For a period of 3 weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school for autistic children. The robot’s behaviours and integration into the school were co-designed with the children and teache... Read More about “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children.

Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data (2022)
Journal Article
Bremner, P., & Giuliani, M. (2022). Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data. Frontiers in Robotics and AI, 9, Article 995342. https://doi.org/10.3389/frobt.2022.995342

This paper makes a contribution to research on digital twins that are generated from robot sensor data. We present the results of an online user study in which 240 participants were tasked to identify real-world objects from robot point cloud data. I... Read More about Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data.

Control of a shunt active power filter by the synchronous referential method connected with a photovoltaic solar energy (2022)
Journal Article
Morsli, A., Tlemcani, A., & Nouri, H. (2022). Control of a shunt active power filter by the synchronous referential method connected with a photovoltaic solar energy. Nonlinear Dynamics and Systems Theory, 22(4), 424-431

This paper presents a depollution technique for low voltage electrical networks. This technique is based on the control of the shunt active power filter (SAPF) at two levels by the instantaneous power method (Sychronous Reference Frame-SRF) which has... Read More about Control of a shunt active power filter by the synchronous referential method connected with a photovoltaic solar energy.

Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods (2022)
Journal Article
Chen, J., Pu, Y., Guo, L., Cao, J., & Zhu, Q. (2023). Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods. International Journal of Adaptive Control and Signal Processing, 37(1), 211-223. https://doi.org/10.1002/acs.3519

This article proposes several second-order optimization methods for time-delay ARX model. Since the time-delay in the information vector makes the traditional identification algorithms be inefficient, a redundant rule based method is utilized to tran... Read More about Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods.

Numerical simulation and experimental investigation of the effect of three-layer annular coaxial shroud on gas-powder flow in laser cladding (2022)
Journal Article
Lyu, P., Jin, L., Yan, B., Zhu, L., Yao, J., & Jiang, K. (2022). Numerical simulation and experimental investigation of the effect of three-layer annular coaxial shroud on gas-powder flow in laser cladding. Journal of Manufacturing Processes, 84, 457-468. https://doi.org/10.1016/j.jmapro.2022.10.019

Laser cladding is a notable metal additive manufacturing (AM). The outstanding benefit of laser cladding is that the cladding process is more flexible and it can be completed in an open environment. However, oxidation phenomenon of active metals such... Read More about Numerical simulation and experimental investigation of the effect of three-layer annular coaxial shroud on gas-powder flow in laser cladding.

Biomechanical effects of adding an ankle soft actuation in a unilateral exoskeleton (2022)
Journal Article
Otálora, S., Ballen-Moreno, F., Arciniegas-Mayag, L., Cifuentes, C. A., & Múnera, M. (2022). Biomechanical effects of adding an ankle soft actuation in a unilateral exoskeleton. Biosensors, 12(10), 873. https://doi.org/10.3390/bios12100873

Stroke disease leads to a partial or complete disability affecting muscle strength and functional mobility. Early rehabilitation sessions might induce neuroplasticity and restore the affected function or structure of the patients. Robotic rehabilitat... Read More about Biomechanical effects of adding an ankle soft actuation in a unilateral exoskeleton.

Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms (2022)
Journal Article
Chen, J., Mao, Y., Gan, M., Wang, D., & Zhu, Q. (2023). Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms. IEEE Transactions on Automatic Control, 68(8), 5044-5051. https://doi.org/10.1109/TAC.2022.3214474

Aitken gradient descent (AGD) algorithm takes some advantages over the standard gradient descent (SGD) and Newton methods: (1) can achieve at least quadratic convergence in general; (2) does not require the Hessian matrix inversion; (3) has less comp... Read More about Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms.

U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient (2022)
Journal Article
Lei, C., & Zhu, Q. (2022). U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient. Mathematical Problems in Engineering, 2022, 1-14. https://doi.org/10.1155/2022/8980664

This paper presents a U-model-based adaptive sliding mode control (SMC) using a deep deterministic policy gradient (DDPG) for uncertain nonlinear systems. The configuration of the proposed methodology consisted of a U-model framework and an SMC with... Read More about U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient.