Outputs (23)

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.