All Outputs (12)

Virtual Instrument for a Multi-illumination Dome System (2025)
Presentation / Conference Contribution
Khanesar, M. A., Corcoran, H., MacDonald, L., Pawar, V., Robson, S., & Piano, S. (2025, April). Virtual Instrument for a Multi-illumination Dome System. Paper presented at ISPRS Geospatial Week (GSW 2025), Dubai, UAE

A virtual instrument has been developed to study a multi-illumination dome system on digital objects using a camera mounted on top of the dome. The reliability of the blender environment is investigated for simulating the functions of components of t... Read More about Virtual Instrument for a Multi-illumination Dome System.

Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment (2024)
Presentation / Conference Contribution
Khanesar, M. A., Todhunter, L., Pawar, V., Corcoran, H., MacDonald, L., Robson, S., & Piano, S. (2024, June). Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment. Presented at euspen’s 24th International Conference & Exhibition, Dublin, IE, June 2024, Dublin, Ireland

Close range photogrammetry is among the top candidates for non-contact metrology in high precision applications. It is frequently used within industrial environments for high precision measurement, automation, and control tasks. When using off-the-sh... Read More about Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment.

Hand Gesture Interface to Teach an Industrial Robots (2023)
Presentation / Conference Contribution
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.

Uncertainty analysis of an augmented industrial robot (2023)
Presentation / Conference Contribution
Khanesar, M. A., Piano, S., & Branson, D. (2023, September). 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)
Presentation / Conference Contribution
Isa, M. A., Khanesar, M. A., Leach, R. K., Branson, D., & Piano, S. (2023, June). High-accuracy robotic metrology for precise industrial manipulation tasks. Presented at Automated Visual Inspection and Machine Vision V, Munich, Germany

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.

Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm (2023)
Presentation / Conference Contribution
Khanesar, M. A., Yan, M., Kendal, P., Isa, M., Piano, S., & Branson, D. (2023, March). Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm. Presented at Proceedings - 2023 IEEE International Conference on Mechatronics, ICM 2023, Loughborough, United Kingdom

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.

Trinocular vision system for pose determination (2022)
Presentation / Conference Contribution
Isa, M., Khanesar, M., Leach, R., Branson, D., & Piano, S. (2022, October). Trinocular vision system for pose determination. Presented at 37th Annual Meeting of the American Society for Precision Engineering, Bellevue, USA

Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System (2022)
Presentation / Conference Contribution
Khanesar, M. A., Piano, S., & Branson, D. (2022, July). Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System. Presented at 19th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2022), Lisbon, Portugal

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)
Presentation / Conference Contribution
Isa, M. A., Khanesar, M. A., Leach, R., Branson, D., & Piano, S. (2022, May). Frequency scanning interferometry for accurate robot position measurement. Presented at 22nd International Conference & Exhibition, Geneva, Switzerland

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.

A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function (2019)
Presentation / Conference Contribution
Khanesar, M. A., Hassan, S., Cambria, E., & Kayacan, E. (2019, June). A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function. Presented at International Conference on Fuzzy Systems (FUZZ -IEEE 2019), New Orleans, Louisiana, USA

Non-iterative methods for parameter estimation for interval type-2 neuro-fuzzy structure are fast to implement, when compared to online methods, and need no –or a few– parameters to be tuned. In this paper, a novel dynamic cost function, which define... Read More about A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function.

Ensemble of Deep Belief Network and Bayesian Adaptive Aggregation for Regression (2019)
Presentation / Conference Contribution
Hassan, S., Khanesari, M. A., Jan, M. T., & Khan Mashwani, W. (2019, March). Ensemble of Deep Belief Network and Bayesian Adaptive Aggregation for Regression. Presented at 2019 International Conference on Information Science and Communication Technology (ICISCT), Karachi, Pakistan

Ensemble modeling of Neural Networks is a strategy where multiple alternative models (ensemble members) are constructed and then their forecasts are ensembled using various combination approaches. Ensemble of Neural Networks has proved the concept be... Read More about Ensemble of Deep Belief Network and Bayesian Adaptive Aggregation for Regression.

Nonlinear System Identification Using Type-2 Fuzzy Recurrent Wavelet Neural Network (2019)
Presentation / Conference Contribution
Tafti, B. E. F., Khanesar, M. A., & Teshnehlab, M. (2019, January). Nonlinear System Identification Using Type-2 Fuzzy Recurrent Wavelet Neural Network. Presented at 2019 7th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), Bojnord, Iran

In this paper, the integration of Type-2 fuzzy set theory and recurrent wavelet neural network(WNN) is proposed to allow managing of non-uniform uncertainties for identifying non-linear dynamic system. The proposed Type-2 fuzzy WNN is inherently a re... Read More about Nonlinear System Identification Using Type-2 Fuzzy Recurrent Wavelet Neural Network.