Dr Theodoros Theodoridis' Outputs (19)

Using Wearable Soft Sensors for Gesture Recognition (2025)
Thesis

The increasing prevalence of hand impairments due to conditions such as arthritis, Cerebral Palsy, Parkinson’s Disease, and stroke presents significant challenges in everyday activities, such as tying shoes or getting dressed. In the UK, long-term mu... Read More about Using Wearable Soft Sensors for Gesture Recognition.

Upcycling of construction materials and products (2024)
Presentation / Conference Contribution

Urbanization and population growth are driving an increase in construction activities, leading to a rise in construction and demolition waste (CDW). The construction industry is responsible for 9 Gtpa of global waste, generated at various stages in t... Read More about Upcycling of construction materials and products.

A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots (2024)
Journal Article
Amiri, P., Müller, M., Southgate, M., Theodoridis, T., Wei, G., Richards-Brown, M., & Holderbaum, W. (2024). A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots. #Journal not on list, 8(5), 216. https://doi.org/10.3390/jmmp8050216

This paper aims to elucidate the state-of-the-art, prevailing priorities, and the focus of the industry, and identify both limitations and potential gaps regarding industrial robots and collaborative robots (cobots). Additionally, it outlines the adv... Read More about A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots.

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article
Shukla, K., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques. Machines, 12(4), 261. https://doi.org/10.3390/machines12040261

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., Wei, G., El-Hussieny, H., & Ferriz-Papi, J. A. (in press). Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition. Advances in Science and Technology, 133, 3-10. https://doi.org/10.4028/p-eeodk5

Tactile sensors in wearable devices have gained attention for their potential applications in enhancing amenability, generation, and functionality for the human body, including sensing and control. This study elaborates on the design of a tactile sen... Read More about Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition.

Modified Nonlinear Hysteresis Approach for a Tactile Sensor (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Modified Nonlinear Hysteresis Approach for a Tactile Sensor. Sensors, 23(16), 7293. https://doi.org/10.3390/s23167293

Soft tactile sensors based on piezoresistive materials have large-area sensing applications. However, their accuracy is often affected by hysteresis which poses a significant challenge during operation. This paper introduces a novel approach that emp... Read More about Modified Nonlinear Hysteresis Approach for a Tactile Sensor.

Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification (2023)
Journal Article
Gkikas, D. C., Theodoridis, P. K., Theodoridis, T., & Gkikas, M. C. (in press). Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification. Informatics, 10(3), 63. https://doi.org/10.3390/informatics10030063

This study aims to provide a method that will assist decision makers in managing large datasets, eliminating the decision risk and highlighting significant subsets of data with certain weight. Thus, binary decision tree (BDT) and genetic algorithm (G... Read More about Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification.

Digital Technologies for Construction Circular Economy (2023)
Presentation / Conference
Underwood, J., Ferriz-Papi, J., & Theodoridis, T. (2023, July). Digital Technologies for Construction Circular Economy. Paper presented at Salford Postgraduate Annual Research Conference (SPARC), Salford, UK

The construction industry is vital for global economic growth, but it faces the challenge of delivering the built environment efficiently and sustainably. This sector consumes large amounts of raw materials and generates significant waste, with the U... Read More about Digital Technologies for Construction Circular Economy.

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.

Novel design and position control strategy of a soft robot arm (2018)
Journal Article

This article presents a novel design of a continuum arm, which has the ability to extend and bend efficiently. Numerous designs and experiments have been done to different dimensions on both types of McKibben pneumatic muscle actuators (PMA) in order... Read More about Novel design and position control strategy of a soft robot arm.

Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA) (2018)
Presentation / Conference
Al-Ibadi, A., Nefti-Meziani, S., Davis, S., & Theodoridis, T. (2018, September). Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA). Presented at 24th International Conference on Automation & Computing, Newcastle, UK

This paper proposes a novel continuum robot
arm based on the pneumatic muscle actuator (PMA). The
simple design of the extensor and the contractor PMAs are
used to implement the extension and the contraction sections respectively. Five actuators a... Read More about Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA).

The design and mathematical model of a novel variable stiffness extensor-contractor pneumatic artificial muscle (2018)
Journal Article

This article presents the design of a novel Extensor-Contractor Pneumatic Artificial Muscle (ECPAM). This new actuator has numerous advantages over traditional pneumatic artificial muscles. These include the ability to both contract and extend relati... Read More about The design and mathematical model of a novel variable stiffness extensor-contractor pneumatic artificial muscle.

Novel soft bending actuator based power augmentation hand exoskeleton controlled by human intention (2018)
Journal Article

This article presents the development of a soft material power augmentation wearable robot using novel bending soft artificial muscles. This soft exoskeleton was developed as a human hand power augmentation system for healthy or partially hand disabl... Read More about Novel soft bending actuator based power augmentation hand exoskeleton controlled by human intention.

Design, fabrication and testing of a 2 DOF compliant flexural microgripper (2018)
Journal Article
Dsouza, R., Navin, K., Theodoridis, T., & Sharma, P. (2018). Design, fabrication and testing of a 2 DOF compliant flexural microgripper. Microsystem Technologies, 24(9), 3867-3883. https://doi.org/10.1007/s00542-018-3861-y

This paper presents the development of a monolithic two degrees of freedom (2 DOF), piezoelectric actuated microgripper for the manipulation of micro-objects. Micromanipulation and microassembly are the major subjects of interest in recent times and... Read More about Design, fabrication and testing of a 2 DOF compliant flexural microgripper.

A variable stiffness soft gripper using granular jamming and biologically inspired pneumatic muscles (2018)
Journal Article

As the domains in which robots operate change the objects a robot may be required to grasp and manipulate are likely to vary significantly and often. Furthermore there is increasing likelihood that in the future robots will work collaboratively along... Read More about A variable stiffness soft gripper using granular jamming and biologically inspired pneumatic muscles.

Novel design of a soft lightweight pneumatic continuum robot arm with decoupled variable stiffness and positioning (2017)
Journal Article

Soft robot arms possess unique capabilities when it comes to adaptability, flexibility and dexterity. In addition, soft systems that are pneumatically actuated can claim high power to weight ratio. One of the main drawbacks of pneumatically actuated... Read More about Novel design of a soft lightweight pneumatic continuum robot arm with decoupled variable stiffness and positioning.

Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments (2016)
Thesis
Pinder, J. Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments. (Thesis). University of Salford

This dissertation focuses on the problem of uncertainty handling during learning, by agents dealing in stochastic environments by means of Multi Objective Reinforcement Learning (MORL). Most previous investigations into multi objective reinforcement... Read More about Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments.

Variable stiffness McKibben muscles with hydraulic and pneumatic operating modes (2016)
Journal Article

McKibben muscles have been shown to have improved stiffness characteristics when operating hydraulically. However, when operating pneumatically they are compliant and so have potential for safer physical Human Robot Interaction (pHRI). This paper pre... Read More about Variable stiffness McKibben muscles with hydraulic and pneumatic operating modes.

The binomial-neighbour instance-based learner on a multiclass performance measure scheme (2014)
Journal Article
Theodoridis, T., & Hu, H. (2015). The binomial-neighbour instance-based learner on a multiclass performance measure scheme. Soft Computing, 19(10), 2973-2981. https://doi.org/10.1007/s00500-014-1461-z

This paper presents a novel instance-based learning methodology the Binomial-Neighbour (B-N) algorithm. Unlike to other k-Nearest Neighbour algorithms, B-N employs binomial search through vectors of statistical features and distance primitives. The b... Read More about The binomial-neighbour instance-based learner on a multiclass performance measure scheme.