The-state-of-the-art of soft robotics to assist mobility: A review of physiotherapist and patient identified limitations of current lower-limb exoskeletons and the potential soft-robotic solutions (2023)
Journal Article
Morris, L., Diteesawat, R. S., Rahman, N., Turton, A., Cramp, M., & Rossiter, J. (2023). The-state-of-the-art of soft robotics to assist mobility: A review of physiotherapist and patient identified limitations of current lower-limb exoskeletons and the potential soft-robotic solutions. Journal of NeuroEngineering and Rehabilitation, 20(1), 18. https://doi.org/10.1186/s12984-022-01122-3

Background: Soft, wearable, powered exoskeletons are novel devices that may assist rehabilitation, allowing users to walk further or carry out activities of daily living. However, soft robotic exoskeletons, and the more commonly used rigid exoskeleto... Read More about The-state-of-the-art of soft robotics to assist mobility: A review of physiotherapist and patient identified limitations of current lower-limb exoskeletons and the potential soft-robotic solutions.

A soft fabric-based shrink-to-fit pneumatic sleeve for comfortable limb assistance (2022)
Conference Proceeding
Diteesawat, R. S., Hoh, S., Pulvirenti, E., Rahman, N., Morris, L., Turton, A., …Rossiter, J. (2022). A soft fabric-based shrink-to-fit pneumatic sleeve for comfortable limb assistance. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (9766-9773). https://doi.org/10.1109/IROS47612.2022.9981265

Upper limb impairments and weakness are com-mon post-stroke and with advanced aging. Rigid exoskeletons have been developed as a potential solution, but have had limited impact. In addition to user concerns about safety, their weight and appearance,... Read More about A soft fabric-based shrink-to-fit pneumatic sleeve for comfortable limb assistance.

A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article
Bennett, T., Kumar, P., & Ruiz Garate, V. R. (2022). A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance. Sensors, 22(13), https://doi.org/10.3390/s22134789

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.

Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study (2021)
Journal Article
Kumar, P., Brodie, S., Molton, J., O'Reilly, R., Steele, J., Pearce, A., …Caleb-Solly, P. (2023). Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study. Journal of Prosthetics and Orthotics, 35(2), 122-128. https://doi.org/10.1097/JPO.0000000000000406

Introduction To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper-limb (UL) movemen... Read More about Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study.

Training needs for future healthcare professionals using assistive robots in health and social care: Exploring the role of system users and staff in safety assurance in the real-world (2021)
Presentation / Conference
Caleb-Solly, P., Sumpter, L., & Kumar, P. (2021, October). Training needs for future healthcare professionals using assistive robots in health and social care: Exploring the role of system users and staff in safety assurance in the real-world. Presented at ACPIN International Conference and AGM, 2021, Online