All Outputs (31)

Vision-based detection and coordinate metrology of a spatially encoded multi-sphere artefact (2023)
Journal Article

New developments in vision algorithms prioritise identification and perception over accurate coordinate measurement due to the complex problem of resolving object form and pose from images. Consequently, many vision algorithms for coordinate measurem... Read More about Vision-based detection and coordinate metrology of a spatially encoded multi-sphere artefact.

Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches (2023)
Journal Article

Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is to read joint angles and use industrial robot forward kinematics (FKs). However, industrial... Read More about Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches.

Enhancing Positional Accuracy of the XY-Linear Stage Using Laser Tracker Feedback and IT2FLS (2023)
Journal Article

This paper proposes a calibration algorithm to improve the positional accuracies of an industrial XY-linear stage. Precision positioning of these linear stages is required to maintain highly accurate object handling and manipulation. However, due to... Read More about Enhancing Positional Accuracy of the XY-Linear Stage Using Laser Tracker Feedback and IT2FLS.

A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots (2023)
Journal Article

Static friction modeling is a critical task to have the accurate robot model. In this article, a neural network separation approach to include nonlinear static friction in models of industrial robots is proposed. For this purpose, the terms correspon... Read More about A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots.

Dynamic Capture Using a Traplike Soft Gripper With Stiffness Anisotropy (2022)
Journal Article

Dynamic capture is a common skill that humans have practiced extensively but is a challenging task for robots in which sensing, planning, and actuation must be tightly coordinated to deal with targets of diverse shapes, sizes, and velocity. In partic... Read More about Dynamic Capture Using a Traplike Soft Gripper With Stiffness Anisotropy.

Smart optical coordinate and surface metrology (2022)
Journal Article

Manufacturing has recently experienced increased adoption of optimised and fast solutions for checking product quality during fabrication, allowing for manufacturing times and costs to be significantly reduced. Due to the integration of machine learn... Read More about Smart optical coordinate and surface metrology.

Optical metrology for digital manufacturing: a review (2022)
Journal Article

With the increasing adoption of Industry 4.0, optical metrology has experienced a significant boom in its implementation, as an ever-increasing number of manufacturing processes are overhauled for in-process measurement and control. As such, optical... Read More about Optical metrology for digital manufacturing: a review.

Robust Sliding Mode Fuzzy Control of Industrial Robots using an Extended Kalman Filter Inverse Kinematic Solver (2022)
Journal Article

This paper presents a sliding mode fuzzy control approach for industrial robots at their static and near static speed (linear velocities less than 5 cm/s). The extended Kalman filter with its covariance resetting is used to translate the coordinates... Read More about Robust Sliding Mode Fuzzy Control of Industrial Robots using an Extended Kalman Filter Inverse Kinematic Solver.

Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device” (2021)
Journal Article

To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. “Chatty Factories” is a concept that explores the transformative potential of placing IoT-enabled... Read More about Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”.

A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis (2021)
Journal Article

Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product... Read More about A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis.

Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach (2021)
Journal Article

Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene... Read More about Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach.

Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data (2021)
Journal Article

This paper presents a novel approach to identify the prediction interval associated with data using interval type-2 fuzzy logic systems with support vector regression. For such a purpose, a constrained quadratic objective function is defined which is... Read More about Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data.

Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism (2020)
Journal Article

This paper presents a real-time position control solution for the targets used in the high-repetition rate laser operations of large-scale high-power laser facilities. The design of the control system is based on an Abbe-compliant, in-process positio... Read More about Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism.

XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications (2020)
Journal Article

Industry 4.0 is the fourth generation of industry which will theoretically revolutionize manufacturing methods through the integration of machine learning and artificial intelligence approaches on the factory floor to obtain robustness and sped-up pr... Read More about XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications.

Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness (2020)
Journal Article

Continuum robots exhibit promising adaptability and dexterity for soft manipulation due to their intrinsic compliance. However, this compliance may lead to challenges in modeling as well as positioning and loading. In this paper, a virtual-work based... Read More about Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness.

Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism (2020)
Journal Article

This paper presents a real-time position control solution for the targets used in the high-repetition rate laser operations of high-power laser facilities. The control system is designed based on an Abbe-compliant, in-process position measurement sys... Read More about Real-time target alignment system for high-power high-repetition rate laser operations using a five degree-of-freedom hybrid mechanism.

Closed Loop Force Control of In-Situ Machining Robots using Audible Sound Features (2019)
Journal Article

Detecting, measuring and controlling the forces between cutting tools and machined components is essential in circumstances where direct position control (e.g. depth of cut, feed speed, etc.) is inaccurate and/or impossible. This paper explores the u... Read More about Closed Loop Force Control of In-Situ Machining Robots using Audible Sound Features.

Task space-based orientability analysis and optimization of a wire-driven continuum robot (2019)
Journal Article

Compared to traditional rigid robots, continuum robots have intrinsic compliance and therefore behave dexterously when performing tasks in restricted environments. Although there have been many researches on the design and application of continuum ro... Read More about Task space-based orientability analysis and optimization of a wire-driven continuum robot.

The influence of control vanes on pneumatic conveying of pulverised fuel at a trifurcator (2019)
Journal Article

© 2019 Elsevier B.V. Distribution of pulverised fuels in pneumatic conveying to conventional boilers is an ongoing research area with the intention of improving the performance of power-generating plants. One of the major challenges is the issue of o... Read More about The influence of control vanes on pneumatic conveying of pulverised fuel at a trifurcator.

A Lumped-Mass Model for Large Deformation Continuum Surfaces Actuated by Continuum Robotic Arms (2019)
Journal Article

Currently, flexible surfaces enabled to be actuated by robotic arms are experiencing high interest and demand for robotic applications in various areas such as healthcare, automotive, aerospace, and manufacturing. However, their design and control th... Read More about A Lumped-Mass Model for Large Deformation Continuum Surfaces Actuated by Continuum Robotic Arms.