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Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields (2024)
Journal Article
Wang, Y., Catalucci, S., Senin, N., & Piano, S. (2024). Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields. Measurement, 227, Article 114194. https://doi.org/10.1016/j.measurement.2024.114194

Being able to assess the amount of uncertainty locally associated to dense point clouds generated by measurement can help investigate the relations between the metrological performance of a chosen measuring technology, and the local geometric and sur... Read More about Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields.

Vision-based detection and coordinate metrology of a spatially encoded multi-sphere artefact (2023)
Journal Article
Isa, M. A., Leach, R., Branson, D., & Piano, S. (2024). Vision-based detection and coordinate metrology of a spatially encoded multi-sphere artefact. Optics and Lasers in Engineering, 172, Article 107885. https://doi.org/10.1016/j.optlaseng.2023.107885

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.

Virtual optical instrument for uncertainty evaluation in surface topography measurement (2023)
Presentation / Conference
Hooshmand, H., Pappas, A., Su, R., Leach, R., & Piano, S. (2023, September). Virtual optical instrument for uncertainty evaluation in surface topography measurement. Paper presented at 15th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII 2023), Seoul, South Korea

Uncertainty evaluation for optical techniques measuring surfaces with complex topography is an open issue in industrial metrology. The ISO standard framework attempts to simplify calibration and uncertainty evaluation by introducing a fixed set of me... Read More about Virtual optical instrument for uncertainty evaluation in surface topography measurement.

Dynamic surface displacement measurement using carrier optical vortex interferometer: A numerical study (2023)
Journal Article
Dong, J., Hooshmand, H., Liu, M., & Piano, S. (2023). Dynamic surface displacement measurement using carrier optical vortex interferometer: A numerical study. Optics and Lasers in Engineering, 171, Article 107824. https://doi.org/10.1016/j.optlaseng.2023.107824

The measurement of dynamic surface displacement is crucial in understanding mechanical and thermophysical dynamics at nanometre to micrometre-scale. Interferometers using optical vortices are gaining attention due to their ability to demodulate fring... Read More about Dynamic surface displacement measurement using carrier optical vortex interferometer: A numerical study.

Comparison of approximate methods for modelling coherence scanning interferometry (2023)
Journal Article
Hooshmand, H., Pahl, T., de Groot, P. J., Lehmann, P., Pappas, A., Su, R., …Piano, S. (2023). Comparison of approximate methods for modelling coherence scanning interferometry. Proceedings of SPIE, 12619, https://doi.org/10.1117/12.2673657

Coherence scanning interferometry (CSI) is a widely used optical method for surface topography measurement of industrial and biomedical surfaces. The operation of CSI can be modelled using approximate physics-based approaches with minimal computation... Read More about Comparison of approximate methods for modelling coherence scanning interferometry.

Uncertainty analysis of an augmented industrial robot (2023)
Conference Proceeding
Khanesar, M. A., Piano, S., & Branson, D. (in press). Uncertainty analysis of an augmented industrial robot.

Industrial robots are often used in additive manufacturing (AM) environments to automate the process of creating complex parts and structures. One example of an industrial robot used in AM is for wire and arc additive manufacturing. This process invo... Read More about Uncertainty analysis of an augmented industrial robot.

High-accuracy robotic metrology for precise industrial manipulation tasks (2023)
Conference Proceeding
Isa, M. A., Khanesar, M. A., Leach, R. K., Branson, D., & Piano, S. (2023). High-accuracy robotic metrology for precise industrial manipulation tasks. . https://doi.org/10.1117/12.2673088

The majority of industrial production processes can be divided into a series of object manipulation and handling tasks that can be adapted for robots. Through significant advances in compliant grasping, sensing and actuation technologies, robots are... Read More about High-accuracy robotic metrology for precise industrial manipulation tasks.

Comparison of coherence scanning interferometry, focus variation and confocal microscopy for surface topography measurement (2023)
Conference Proceeding
Hooshmand, H., Liu, M., Pappas, A., Thompson, A., Leach, R., & Piano, S. (2023). Comparison of coherence scanning interferometry, focus variation and confocal microscopy for surface topography measurement.

The most common optical technologies for surface topography measurement are coherence scanning interferometry (CSI), focus variation microscopy (FV) and imaging confocal microscopy (CM). Due to the benefits and drawbacks of each, these instruments ar... Read More about Comparison of coherence scanning interferometry, focus variation and confocal microscopy for surface topography measurement.

Measurement of powder spreading dynamics in additive manufacturing (2023)
Conference Proceeding
Ferris, S., Thompson, A., Maskery, I., Hall, S., & Piano, S. (2023). Measurement of powder spreading dynamics in additive manufacturing.

In this work, we examine the effect of the state of the pre-processing powder bed in powder-based additive manufacturing, particularly in metal laser powder bed fusion (PBF-LB). The spreading of the powder layer has been identified as a critical but... Read More about Measurement of powder spreading dynamics in additive manufacturing.

Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches (2023)
Journal Article
Khanesar, M. A., Yan, M., Isa, M., Piano, S., & Branson, D. T. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, 23(12), Article 5368. https://doi.org/10.3390/s23125368

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
Khanesar, M. A., Yan, M., Isa, M., Piano, S., Ayoubi, M. A., & Branson, D. (2023). Enhancing Positional Accuracy of the XY-Linear Stage Using Laser Tracker Feedback and IT2FLS. Machines, 11(4), Article 497. https://doi.org/10.3390/machines11040497

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
Ahmadieh Khanesar, M., Yan, M., Syam, W. P., Piano, S., Leach, R. K., & Branson, D. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE/ASME Transactions on Mechatronics, 28(6), 3294-3304. https://doi.org/10.1109/TMECH.2023.3262644

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.

Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm (2023)
Conference Proceeding
Khanesar, M. A., Yan, M., Kendal, P., Isa, M., Piano, S., & Branson, D. (2023). Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm. In Proceedings of IEEE International Conference on Mechatronics ( IEEE ICM 2023). https://doi.org/10.1109/ICM54990.2023.10101918

This paper proposes an industrial robot calibration methodology using an artificial bee colony algorithm. Open loop industrial robot positions are usually calculated using joint angle readings and industrial robot forward kinematics, where feedback c... Read More about Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm.

Improving the localisation of features for the calibration of cameras using EfficientNets (2023)
Journal Article
Eastwood, J., Gayton, G., Leach, R. K., & Piano, S. (2023). Improving the localisation of features for the calibration of cameras using EfficientNets. Optics Express, 31(5), 7966-7982. https://doi.org/10.1364/OE.478934

Camera-based methods for optical coordinate metrology, such as digital fringe projection, rely on accurate calibration of the cameras in the system. Camera calibration is the process of determining the intrinsic and distortion parameters which define... Read More about Improving the localisation of features for the calibration of cameras using EfficientNets.

Quantitative investigation of the validity conditions for the Beckmann-Kirchhoff scattering model (2022)
Journal Article
Hooshmand, H., Liu, M., Leach, R., & Piano, S. (2022). Quantitative investigation of the validity conditions for the Beckmann-Kirchhoff scattering model. Optical Engineering, 61(12), Article 124113. https://doi.org/10.1117/1.OE.61.12.124113

Approximate and rigorous methods are widely used to model light scattering from a surface. The boundary element method (BEM) is a rigorous model that accounts for polarization and multiple scattering effects. BEM is suitable to model the scattered li... Read More about Quantitative investigation of the validity conditions for the Beckmann-Kirchhoff scattering model.

Autonomous image background removal for accurate and efficient close-range photogrammetry (2022)
Journal Article
Eastwood, J., Leach, R. K., & Piano, S. (2023). Autonomous image background removal for accurate and efficient close-range photogrammetry. Measurement Science and Technology, 34(3), Article 035404. https://doi.org/10.1088/1361-6501/aca497

Close-range photogrammetry can be used to reconstruct dense point clouds of an object with very high surface coverage, making it useful for manufacturing metrology tasks such as part inspection and validation. However, compared to competing technique... Read More about Autonomous image background removal for accurate and efficient close-range photogrammetry.

Applications of data fusion in optical coordinate metrology: a review (2022)
Journal Article
Zhang, Z. M., Catalucci, S., Thompson, A., Leach, R., & Piano, S. (2023). Applications of data fusion in optical coordinate metrology: a review. International Journal of Advanced Manufacturing Technology, 124, 1341-1356. https://doi.org/10.1007/s00170-022-10576-7

Data fusion enables the characterisation of an object using multiple datasets collected by various sensors. To improve optical coordinate measurement using data fusion, researchers have proposed numerous algorithmic solutions and methods. The most po... Read More about Applications of data fusion in optical coordinate metrology: a review.

Surface texture characterisation with reduced boundary effect for diamond-turned micro-structured surfaces (2022)
Journal Article
Guo, P., Liu, M., Zhang, B., Li, J., Xiong, Z., Piano, S., & Zhang, S. (2023). Surface texture characterisation with reduced boundary effect for diamond-turned micro-structured surfaces. Precision Engineering, 79, 236-244. https://doi.org/10.1016/j.precisioneng.2022.10.005

Micro-structured surfaces, fabricated by ultra-precision diamond turning (UPDT) with nanometric surface texture, have been widely used due to their wide range of functionalities. Their functional performance is closely related to their surface textur... Read More about Surface texture characterisation with reduced boundary effect for diamond-turned micro-structured surfaces.

Quantifying the validity conditions of the Beckmann-Kirchhoff scattering model (2022)
Conference Proceeding
Hooshmand, H., Liu, M., Leach, R., & Piano, S. (2022). Quantifying the validity conditions of the Beckmann-Kirchhoff scattering model. In D. Kim, H. Choi, & H. Ottevaere (Eds.), Proc. SPIE 12221, Optical Manufacturing and Testing XIV. https://doi.org/10.1117/12.2639003

Approximate and rigorous methods are widely used to model light scattering from a surface. The boundary element method (BEM) is a rigorous model that accounts for polarisation and multiple scattering effects. BEM is suitable to model the scattered li... Read More about Quantifying the validity conditions of the Beckmann-Kirchhoff scattering model.