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All Outputs (49)

Hand Gesture Interface to Teach an Industrial Robots (2023)
Presentation / Conference
Ahmadieh Khanesar, M., & Branson, D. (2023, November). Hand Gesture Interface to Teach an Industrial Robots. Paper presented at ICINCO 2023: 20th International Conference on Informatics in Control, Automation and Robotics, Rome, Italy

The present paper proposes user gesture recognition to control industrial robots. To recognize hand gestures, MediaPipe software package and an RGB camera is used. The proposed communication approach is an easy and reliable approach to provide comman... Read More about Hand Gesture Interface to Teach an Industrial Robots.

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.

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.

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.

Dynamic Capture Using a Traplike Soft Gripper With Stiffness Anisotropy (2022)
Journal Article
Yang, S., Zhou, Y., Walker, I. D., Yang, C., Branson, D. T., Song, Z., …Kang, R. (2023). Dynamic Capture Using a Traplike Soft Gripper With Stiffness Anisotropy. IEEE/ASME Transactions on Mechatronics, 28(3), 1337-1346. https://doi.org/10.1109/tmech.2022.3219108

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
Catalucci, S., Thompson, A., Eastwood, J., Zhang, Z. M., Branson, D. T., Leach, R., & Piano, S. (2022). Smart optical coordinate and surface metrology. Measurement Science and Technology, 34(1), Article 012001. https://doi.org/10.1088/1361-6501/ac9544

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.

Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System (2022)
Conference Proceeding
Khanesar, M. A., Piano, S., & Branson, D. (2022). Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2022) (263-270). https://doi.org/10.5220/0011340200003271

Precision object handling and manipulation require precise positioning of industrial robots. The common practice to perform end effector positioning is to use joint angle readings and industrial robot forward kinematics. However, forward kinematics o... Read More about Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System.

Frequency scanning interferometry for accurate robot position measurement (2022)
Conference Proceeding
Isa, M. A., Khanesar, M. A., Leach, R., Branson, D., & Piano, S. (2022). Frequency scanning interferometry for accurate robot position measurement. In Proceedings of 22nd International Conference & Exhibition

This paper presents a frequency scanning interferometry (FSI) shortwave infrared (IR) setup developed for position and orientation measurement of industrial robots. Within contemporary and future industrial frameworks, robots—in particular collaborat... Read More about Frequency scanning interferometry for accurate robot position measurement.

Optical metrology for digital manufacturing: a review (2022)
Journal Article
Catalucci, S., Thompson, A., Piano, S., Branson, D. T., & Leach, R. (2022). Optical metrology for digital manufacturing: a review. International Journal of Advanced Manufacturing Technology, 120(7-8), 4271-4290. https://doi.org/10.1007/s00170-022-09084-5

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
Khanesar, M. A., & Branson, D. (2022). Robust Sliding Mode Fuzzy Control of Industrial Robots using an Extended Kalman Filter Inverse Kinematic Solver. Energies, 15(5), Article 1876. https://doi.org/10.3390/en15051876

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
Lakoju, M., Ajienka, N., Khanesar, M. A., Burnap, P., & Branson, D. T. (2021). Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”. Sensors, 21(15), Article 4991. https://doi.org/10.3390/s21154991

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
Alruqi, M., Baumers, M., Branson, D., & Farndon, R. (2021). A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis. Management Systems in Production Engineering, 29(3), 165-177. https://doi.org/10.2478/mspe-2021-0021

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
Khanesar, M. A., Lu, J., Smith, T., & Branson, D. (2021). Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach. Energies, 14(12), 1-18. https://doi.org/10.3390/en14123591

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.