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All Outputs (86)

Reference Architecture for Space Production Systems (2022)
Conference Proceeding
Sanderson, D., Brown, A., Leadbetter, J., Gordon, A., Shires, E., & Ratchev, S. (2022). Reference Architecture for Space Production Systems. In 9th European Conference for Aeronautics and Space Sciences

In this paper, we propose a conceptual framework and reference architecture for space production systems (SPS). A review of the existing digital architecture approaches and standards for space systems identifies a number of potential avenues. Based o... Read More about Reference Architecture for Space Production Systems.

Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing (2022)
Conference Proceeding
Rehman, H. U., Chaplin, J. C., Zarzycki, L., Mo, F., Jones, M., & Ratchev, S. (2022). Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing. In 10th IFAC Conference On Manufacturing Modelling, Management And Control

The rise in demand for customised products and lower costs has generated the need for incorporating intelligence in production systems. Intelligence is the main driver for enabling intelligent control in production systems to meet feature, part and c... Read More about Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing.

Development of an affordable and auto-reconfigurable solution for small box assembly (2022)
Presentation / Conference
Wang, Z., Kendall, P., Gumma, K., Smith, A., Turner, A., & Ratchev, S. (2022, June). Development of an affordable and auto-reconfigurable solution for small box assembly. Paper presented at 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France

The aerospace manufacturing industry has been using dedicated assembly systems with manual processes for decades. Not only is this labour-intensive, it is also extremely wasteful as no reuse is possible at the end of a product life cycle. As automati... Read More about Development of an affordable and auto-reconfigurable solution for small box assembly.

A data analytics model for improving process control in flexible manufacturing cells (2022)
Journal Article
Martínez-Arellano, G., Nguyen, T., Hinton, C., & Ratchev, S. (2022). A data analytics model for improving process control in flexible manufacturing cells. Decision Analytics Journal, 3, Article 100075. https://doi.org/10.1016/j.dajour.2022.100075

With the need of more responsive and resilient manufacturing processes for high value, customised products, Flexible Manufacturing Systems (FMS) remain a very relevant manufacturing approach. Due to their complexity, quality monitoring in these types... Read More about A data analytics model for improving process control in flexible manufacturing cells.

Towards Modular and Plug-and-Produce Manufacturing Apps (2022)
Journal Article
Torayev, A., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2022). Towards Modular and Plug-and-Produce Manufacturing Apps. Procedia CIRP, 107, 1257-1262. https://doi.org/10.1016/j.procir.2022.05.141

Industry 4.0 redefines manufacturing systems as smart and connected systems where software solutions provide additional capabilities to the manufacturing equipment. However, the connection of manufacturing equipment with software solutions is challen... Read More about Towards Modular and Plug-and-Produce Manufacturing Apps.

Imitation learning for coordinated human–robot collaboration based on hidden state-space models (2022)
Journal Article
Wang, L., Wang, G., Jia, S., Turner, A., & Ratchev, S. (2022). Imitation learning for coordinated human–robot collaboration based on hidden state-space models. Robotics and Computer-Integrated Manufacturing, 76, Article 102310. https://doi.org/10.1016/j.rcim.2021.102310

This paper proposes a novel coordinated human–robot collaboration framework based on the hidden state-space model, which probabilistically clones the human behaviour and presents dynamic features in a nonparametric form. Derived from the filter predi... Read More about Imitation learning for coordinated human–robot collaboration based on hidden state-space models.

An efficient cost estimation framework for aerospace applications using Matlab/Simulink (2021)
Journal Article
Bacharoudis, K., Wilson, H., Goodfellow-Jones, S., Popov, A., & Ratchev, S. (2021). An efficient cost estimation framework for aerospace applications using Matlab/Simulink. Procedia CIRP, 104, 1143-1148. https://doi.org/10.1016/j.procir.2021.11.192

The ability to estimate costs and process times at the early stage of a design phase is of great importance to the product development process, enabling selection of the most suitable design and manufacturing concepts. Therefore, herein an efficient... Read More about An efficient cost estimation framework for aerospace applications using Matlab/Simulink.

Application of Multi Agent Systems for Leak Testing (2021)
Conference Proceeding
Rehman, H. U., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2021). Application of Multi Agent Systems for Leak Testing. . https://doi.org/10.1109/ICSC50472.2021.9666580

The manufacturing of customised products is a driver in the trend of incorporating intelligence in the system. This intelligence is required to enable the system to self-conFigure processes to meet the requirements of unique products. This work deals... Read More about Application of Multi Agent Systems for Leak Testing.

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions (2021)
Conference Proceeding
Martínez-Arellano, G., McNally, M. J., Chaplin, J. C., Ling, Z., McFarlane, D., & Ratchev, S. (2021). Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA’21

The rate of adoption of digital solutions in manufacturing environments remains low despite the benefits these can bring. This is particularly acute among industrial small and medium enterprises (SMEs), who typically do not have the confidence to ado... Read More about Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions.

Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks (2021)
Journal Article
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2021). Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks. Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06543-0

This paper presents a novel probabilistic distributed framework based on movement primitives for flexible robot assembly. Since the modern advanced industrial cell usually deals with various scenarios that are not fixed via-point trajectories but hig... Read More about Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks.

Cloud Based Decision Making for Multi-Agent Production Systems (2021)
Conference Proceeding
Rehman, H. U., Pulikottil, T., Estrada-Jimenez, L. A., Mo, F., Chaplin, J. C., Barata, J., & Ratchev, S. (2021). Cloud Based Decision Making for Multi-Agent Production Systems. In Progress in Artificial Intelligence (673-686). https://doi.org/10.1007/978-3-030-86230-5_53

The use of multi-agent systems (MAS) as a distributed control method for shop-floor manufacturing control applications has been extensively researched. MAS provides new implementation solutions for smart manufacturing requirements such as the high dy... Read More about Cloud Based Decision Making for Multi-Agent Production Systems.

Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator (2021)
Conference Proceeding
Liu, C., Wang, M., Li, X., & Ratchev, S. (2021). Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator. . https://doi.org/10.1109/CASE49439.2021.9551523

This work presents an iterative learning control (ILC) algorithm to enhance the feedforward control (FFC) for robotic manipulators. The proposed ILC algorithm enables the cooperation between the ILC, inverse dynamics, and a PD feedback control (FBC)... Read More about Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator.

A Framework for Self-Configuration in Manufacturing Production Systems (2021)
Conference Proceeding
Rehman, H. U., Chaplin, J. C., Zarzycki, L., & Ratchev, S. (2021). A Framework for Self-Configuration in Manufacturing Production Systems. . https://doi.org/10.1007/978-3-030-78288-7_7

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves-called self-configuration. This paper describes a framework for utilising d... Read More about A Framework for Self-Configuration in Manufacturing Production Systems.

Learning Feedforward Control for Industrial Manipulators (2021)
Conference Proceeding
Liu, C., Popov, A., Turner, A., Shires, E., & Ratchev, S. (2021). Learning Feedforward Control for Industrial Manipulators. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (523-528). https://doi.org/10.1109/DDCLS52934.2021.9455672

In this work, an iterative learning control (ILC) algorithm is proposed for industrial manipulators. The proposed ILC algorithm works coordinately with the inverse dynamics of the manipulator and a feedback controller. The entire control scheme has t... Read More about Learning Feedforward Control for Industrial Manipulators.

Application of advanced simulation methods for the tolerance analysis of mechanical assemblies (2021)
Conference Proceeding
Bacharoudis, K., Popov, A., & Ratchev, S. (2021). Application of advanced simulation methods for the tolerance analysis of mechanical assemblies. . https://doi.org/10.1007/978-3-030-72632-4_11

In the frame of a statistical tolerance analysis of complex assemblies, for example an aircraft wing, the capability to predict accurately and fast specified, very small quantiles of the distribution of the assembly key characteristic becomes crucial... Read More about Application of advanced simulation methods for the tolerance analysis of mechanical assemblies.

Context-Aware Plug and Produce for Robotic Aerospace Assembly (2021)
Conference Proceeding
Sanderson, D., Shires, E., Chaplin, J. C., Brookes, H., Liaqat, A., & Ratchev, S. (2021). Context-Aware Plug and Produce for Robotic Aerospace Assembly. . https://doi.org/10.1007/978-3-030-72632-4_13

Aerospace production systems face increasing requirements for flexibility and reconfiguration, along with considerations of cost, utilisation, and efficiency. This drives a need for systems with a small number of automation platforms (e.g. industrial... Read More about Context-Aware Plug and Produce for Robotic Aerospace Assembly.

Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project (2020)
Journal Article
McNally, M. J., Chaplin, J. C., Martinez-Arellano, G., & Ratchev, S. (2020). Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project. IFAC-PapersOnLine, 53(3), 72-77. https://doi.org/10.1016/j.ifacol.2020.11.065

The adoption of digital manufacturing in small to medium enterprises (SMEs) in the manufacturing sector in the UK is low, yet these technologies offer significant promise to boost productivity. Two major causes of this lack of uptake is the high upfr... Read More about Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project.

Tolerance allocation: A reliability based optimisation approach (2020)
Journal Article
Bacharoudis, K., Popov, A., & Ratchev, S. (2020). Tolerance allocation: A reliability based optimisation approach. Procedia Manufacturing, 51, 1038-1045. https://doi.org/10.1016/j.promfg.2020.10.146

Tolerance analysis and allocation are two activities of great importance in product development. The mathematical formulation of the latter concerns the establishment and solution of a constraint optimisation problem. In this work, making one step fo... Read More about Tolerance allocation: A reliability based optimisation approach.

Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks (2020)
Conference Proceeding
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2020). Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks. . https://doi.org/10.1109/smc42975.2020.9283066

This paper presents a novel distributed probabilistic framework based on movement primitives for flexible robots assembly implementation. Since modern advanced industrial cell usually deals with various tasks that are not fixed via-point trajectories... Read More about Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks.

Affordable data integration approach for production enterprises (2020)
Journal Article
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2020). Affordable data integration approach for production enterprises. Procedia CIRP, 93, 616-621. https://doi.org/10.1016/j.procir.2020.04.124

© 2020 The Authors. The manufacturing industries in a number of high-labour-cost economies are undergoing a shift towards increased automation and intelligence typified by the ‘Industry 4.0' paradigm. Advances from computer science research including... Read More about Affordable data integration approach for production enterprises.