All Outputs (12)

Interoperability of the future factory: an overview of concepts and research challenges (2020)
Journal Article
Xu, L., Vrieze, P. D., Yu, H., Phalp, K., & Bai, Y. (2020). Interoperability of the future factory: an overview of concepts and research challenges. International Journal of Mechatronics and Manufacturing Systems, 13(1), 3-27. https://doi.org/10.1504/ijmms.2020.108333

Interoperability is a key factor in implementing a virtual factory. In European Union context interoperability is the ability of organisations to interact towards mutually beneficial goals, involving the sharing of information and knowledge between t... Read More about Interoperability of the future factory: an overview of concepts and research challenges.

An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling (2020)
Journal Article
Wu, P., Yang, Q., Chen, W., Mao, B., & Yu, H. (2020). An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling. Complexity, 2020, Article 3450180. https://doi.org/10.1155/2020/3450180

Due to the NP-hard nature, the permutation flowshop scheduling problem (PFSSP) is a fundamental issue for Industry 4.0, especially under higher productivity, efficiency, and self-managing systems. This paper proposes an improved genetic-shuffled frog... Read More about An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling.

A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control (2020)
Journal Article
Liu, P., Huda, M. N., Sun, L., & Yu, H. (2020). A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control. Mechatronics, 72, 102443. https://doi.org/10.1016/j.mechatronics.2020.102443

Underactuated robotic systems have become an important research topic aiming at significant improvement of the behavioural performance and energy efficiency. Adopting some bio-inspired ideas and properties, the self-organisation and main tasks of the... Read More about A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control.

Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System (2020)
Journal Article
Anwary, A. R., Yu, H., Callaway, A., & Vassallo, M. (2021). Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System. IEEE Sensors Journal, 21(2), 1625-1634. https://doi.org/10.1109/jsen.2020.3021501

Conditions causing gait abnormalities are very common and their treatment requires the detailed assessment of gait. Currently such assessments are carried out in gait laboratories and require the use of complex and expensive equipment. To increase av... Read More about Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System.

An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP (2020)
Conference Proceeding
Jiang, J., Yao, X., Yang, E., Mehnen, J., & Yu, H. (2020). An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. In 2020 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/cec48606.2020.9185672

The material transportation planning with a mobile robot can be regarded as the ordered clustered traveling salesman problem. To solve such problems with different priorities at stations, an improved adaptive genetic simulated annealing algorithm is... Read More about An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP.

Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control. IEEE Access, 8, 144718-144729. https://doi.org/10.1109/access.2020.3014496

This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeatable operations. To solve this problem, a time-varying linearization model... Read More about Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control.

Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology. Sensors, 20(15), Article 4164. https://doi.org/10.3390/s20154164

This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory trackin... Read More about Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology.

Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs (2020)
Journal Article
Wang, C., Zhao, T., Yu, H., Li, E., Tian, X., & Ding, S. (2021). Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(4), 670-692. https://doi.org/10.1177/0954406220936728

The capacities of parallel mechanisms are limited by their height for the narrow space applications, such as the shipboard stability platforms, household simulators, aerospace mechanisms, etc. This paper proposes a novel foldable six-DOF parallel man... Read More about Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs.

Gait quantification and visualization for digital healthcare (2020)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2020). Gait quantification and visualization for digital healthcare. Health Policy and Technology, 9(2), 204-212. https://doi.org/10.1016/j.hlpt.2019.12.004

Gait abnormalities are common in clinical practice and there is a global imperative to improve technologies that facilitate their detection, evaluation, monitoring and management. Real time evaluation using digital technology supports the development... Read More about Gait quantification and visualization for digital healthcare.

The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research (2020)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2020). The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research. International Journal of Human-Computer Studies, 143, Article 102471. https://doi.org/10.1016/j.ijhcs.2020.102471

Due to the ever-increasing number of people with dementia (PWD), the researchers are challenged with finding innovative ways for their wellbeing. This study explores the development and usability of a software application named the assistive brotherh... Read More about The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research.

Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot (2020)
Journal Article
Zhang, J., Wei, H., Shan, Y., Li, P., Zhao, Y., Qi, L., & Yu, H. (2020). Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot. IEEE Access, 8, 62932-62942. https://doi.org/10.1109/access.2020.2983260

In view of the demand for flexible drive and large load of the soft robot in the practical application, a novel type of flexible-actuated multi-degree-of-freedom (multi-DOF) parallel soft robot is designed. The proposed robot in parallel combination... Read More about Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot.

Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot (2020)
Journal Article
Huda, M. N., Liu, P., Saha, C., & Yu, H. (2020). Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot. Journal of Intelligent and Robotic Systems, 100, 753–764. https://doi.org/10.1007/s10846-020-01167-3

This paper presents a miniature hybrid capsule robot for minimally invasive in-vivo interventions such as capsule endoscopy within the GI (gastrointestinal) tract. It proposes new modes of operation for the hybrid robot namely hybrid mode and anchori... Read More about Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot.