All Outputs (7)

Geometry model for marker-based localisation (2020)
Thesis
Bou Said Yssa, A. Geometry model for marker-based localisation. (Thesis). University Of Salford

This work presents a novel approach for position estimation from monocular vision. It has been shown that vision systems have great capability in reaching precise and accurate measurements and are becoming the state-of-the-art in navigation. Naviga... Read More about Geometry model for marker-based localisation.

A comparative review on mobile robot path planning : classical or meta-heuristic methods? (2020)
Journal Article
Wahab, M., Nefti-Meziani, S., & Atyabi, A. (2020). A comparative review on mobile robot path planning : classical or meta-heuristic methods?. Annual Reviews in Control, 50, 233-252. https://doi.org/10.1016/j.arcontrol.2020.10.001

The involvement of Meta-heuristic algorithms in robot motion planning has attracted the attention of researchers in the robotics community due to the simplicity of the approaches and their effectiveness in the coordination of the agents. This study e... Read More about A comparative review on mobile robot path planning : classical or meta-heuristic methods?.

Controlling of pneumatic muscle actuator systems by Parallel Structure of Neural Network and Proportional Controllers (PNNP) (2020)
Journal Article
Al-Ibadi, A., Nefti-Meziani, S., & Davis, S. (2020). Controlling of pneumatic muscle actuator systems by Parallel Structure of Neural Network and Proportional Controllers (PNNP). Frontiers in Robotics and AI, 7, 115. https://doi.org/10.3389/frobt.2020.00115

This article proposed a novel controller structure to track the nonlinear behavior of the pneumatic muscle actuator (PMA), such as the elongation for the extensor actuator and bending for the bending PMA. The proposed controller consists neural netwo... Read More about Controlling of pneumatic muscle actuator systems by Parallel Structure of Neural Network and Proportional Controllers (PNNP).

Toward Kinecting cognition by behaviour recognition-based deep learning and big data (2020)
Journal Article
Soufian, M., Nefti-Meziani, S., & Drake, J. (2020). Toward Kinecting cognition by behaviour recognition-based deep learning and big data. Universal Access in the Information Society, 21, 33-51. https://doi.org/10.1007/s10209-020-00744-5

The majority of older people wish to live independently at home as long as possible despite having a range of age-related conditions including cognitive impairment. To facilitate this, there has been an extensive focus on exploring the capability of... Read More about Toward Kinecting cognition by behaviour recognition-based deep learning and big data.

The design, kinematics and torque analysis of the self-bending soft contraction actuator (2020)
Journal Article
Al-Ibadi, A., Nefti-Meziani, S., & Davis, S. (2020). The design, kinematics and torque analysis of the self-bending soft contraction actuator. Actuators open access journal, 9(2), e33. https://doi.org/10.3390/act9020033

This article presents the development of a self-bending contraction actuator (SBCA) through analysis of its structure, kinematics, and torque formulas, and then explores its applications. The proposed actuator has been fabricated by two methods to pr... Read More about The design, kinematics and torque analysis of the self-bending soft contraction actuator.

Perspective distortion modeling for image measurements (2020)
Journal Article
Bousaid, A., Theodoridis, T., Nefti-Meziani, S., & Davis, S. (2020). Perspective distortion modeling for image measurements. IEEE Access, 8, 15322-15331. https://doi.org/10.1109/ACCESS.2020.2966716

A perspective distortion modelling for monocular view that is based on the fundamentals of perspective projection is presented in this work. Perspective projection is considered to be the most ideal and realistic model among others, which depicts ima... Read More about Perspective distortion modeling for image measurements.

A novel boundary element method for low Reynolds number external flow of biological fluid dynamics (2020)
Thesis
Dang, B. A novel boundary element method for low Reynolds number external flow of biological fluid dynamics. (Thesis). University of Salford

Consider two dimensional low Reynolds number flow past a body. In this thesis, the problems of steady flow past a circular cylinder, steady flow past an elliptical cylinder, and the motion of a generic tail-like body are investigated. The theoretical... Read More about A novel boundary element method for low Reynolds number external flow of biological fluid dynamics.