All Outputs (94)

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

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

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

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

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.

Metal oxide decorated carbon nanocomposite electrodes for propofol monitoring (2022)
Journal Article

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

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

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.

Modeling peptide nucleic acid binding enthalpies using MM-GBSA (2022)
Journal Article

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

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

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

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

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

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

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

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

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

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.

Rapid identification of foodborne pathogens in limited resources settings using a handheld Raman spectroscopy device (2022)
Journal Article

Featured Application: Here, we report a practical and precise method for the identification of foodborne pathogenic bacteria using a Raman handheld device equipped with an orbital raster scan (ORS) technology that enables the system to generate a dis... Read More about Rapid identification of foodborne pathogens in limited resources settings using a handheld Raman spectroscopy device.

Modelling a dynamic magneto-agglutination bioassay (2022)
Journal Article

The process of developing an end-to-end model of a magneto-immunoassay is described, simulating the agglutination effect due to the specific binding of bacteria to paramagnetic particles. After establishing the properties of the dose-specific aggluti... Read More about Modelling a dynamic magneto-agglutination bioassay.

A collaboratively-derived research agenda for e-assessment in undergraduate mathematics (2022)
Journal Article

This paper describes the collaborative development of an agenda for research on e-assessment in undergraduate mathematics. We built on an established approach to develop the agenda from the contributions of 22 mathematics education researchers, unive... Read More about A collaboratively-derived research agenda for e-assessment in undergraduate mathematics.