All Outputs (8)

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.