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.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Conference Proceeding
Western, D., Weber, T., Kandasamy, R., May, F., Taylor, S., Zhu, Y., & Canham, L. (2022). Automatic report-based labelling of clinical EEGs for classifier training. In 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). https://doi.org/10.1109/SPMB52430.2021.9672295

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.

Safety assessment review of a dressing assistance robot (2021)
Journal Article
Delgado Bellamy, D., Chance, G., Caleb-Solly, P., & Dogramadzi, S. (2021). Safety assessment review of a dressing assistance robot. Frontiers in Robotics and AI, 8, Article 667316. https://doi.org/10.3389/frobt.2021.667316

Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of... Read More about Safety assessment review of a dressing assistance robot.

Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots (2021)
Conference Proceeding
Winkle, K., Caleb-Solly, P., Leonards, U., Turton, A., & Bremner, P. (2021). Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots. https://doi.org/10.1145/3434073.3444666

In this paper we apply the recent concept of robot Ethical Risk Assessment to an exemplar Socially Assistive Robot (SAR); specifically considering ethical risks posed by anthropomorphism in this context. We draw on two complimentary studies to demons... Read More about Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.

Towards an ontological framework for environmental survey hazard analysis of autonomous systems (2021)
Conference Proceeding
Caleb-Solly, P., & Harper, C. (2021). Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

This paper presents current progress in the development of Environmental Survey Hazard Analysis (ESHA), a method of preliminary hazard identification aimed at autonomous system application problems. In addition to performing their design mission, aut... Read More about Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

The impact of affective verbal expressions in social robots (2020)
Conference Proceeding
van Maris, A., Sutherland, A., Mazel, A., Dogramadzi, S., Zook, N., Studley, M., …Caleb-Solly, P. (2020). The impact of affective verbal expressions in social robots. . https://doi.org/10.1145/3371382.3378358

This research investigates whether there is an ethical concern in robots misrepresenting their internal state through speech. Participants were asked to discuss their food preferences with a robot, where the robot would either respond through facts o... Read More about The impact of affective verbal expressions in social robots.

Speech related accessibility issues in social robots (2020)
Conference Proceeding
van Maris, A., Dogramadzi, S., Zook, N., Studley, M., Winfield, A., & Caleb-Solly, P. (2020). Speech related accessibility issues in social robots. In HRI '20: ACM/IEEE International Conference on Human-Robot Interaction (505-507). https://doi.org/10.1145/3371382.3378379

This work describes an incidental finding from a longitudinal Human-Robot Interaction study that was investigating whether a robot showing emotions during interactions with older adults was perceived differently than to a robot that did not display e... Read More about Speech related accessibility issues in social robots.

Investigating the effectiveness of different interaction modalities for spatial human-robot interaction (2020)
Conference Proceeding
He, J., van Maris, A., & Caleb-Solly, P. (2020). Investigating the effectiveness of different interaction modalities for spatial human-robot interaction. . https://doi.org/10.1145/3371382.3378273

With the increasing use of social robots in real environments, one of the areas of research requiring more attention is the study of human-robot interaction (HRI) when a person and robot are moving close to each other. Understanding effective ways to... Read More about Investigating the effectiveness of different interaction modalities for spatial human-robot interaction.

Motion Capture Pillow (MCP): A novel method to improve comfort and accuracy in radiotherapy (2019)
Journal Article
Goldsworthy, S., McNair, H., & Dogramadzi, S. (2019). Motion Capture Pillow (MCP): A novel method to improve comfort and accuracy in radiotherapy. Clinical Medicine, 19(Suppl2), s103. https://doi.org/10.7861/clinmedicine.19-2-s103

The delivery of radiotherapy has changed significantly over the last few decades. Recent advances in radiotherapy practice may increase patient discomfort. A key challenge to improve patient comfort is the common use of a thermoplastic mask for patien... Read More about Motion Capture Pillow (MCP): A novel method to improve comfort and accuracy in radiotherapy.

Real-time electromagnetic tracking of orthopaedic pins for robot-assisted fracture surgery (2018)
Presentation / Conference
Martins, B., Dagnino, G., & Dogramadzi, S. (2018, September). Real-time electromagnetic tracking of orthopaedic pins for robot-assisted fracture surgery. Presented at Computer and Robot Assisted Surgery (CRAS), London, England

Tracking devices are an essential component in image guided surgery particularly when precise treatment or implant positioning are required. In this paper we explore the use of an electromagnetic tracking device (Polaris Aurora, NDI Inc.) as an alter... Read More about Real-time electromagnetic tracking of orthopaedic pins for robot-assisted fracture surgery.

A framework for semi-supervised adaptive learning for activity recognition in healthcare applications (2018)
Conference Proceeding
Gupta, P., & Caleb-Solly, P. (2018). A framework for semi-supervised adaptive learning for activity recognition in healthcare applications. In Engineering Applications of Neural Networks (3-15). https://doi.org/10.1007/978-3-319-98204-5_1

With the growing popularity of the Internet of Things and connected home products, potential healthcare applications in a smart-home context for assisted living are becoming increasingly apparent. However, challenges in performing real-time human act... Read More about A framework for semi-supervised adaptive learning for activity recognition in healthcare applications.

Biomimetic knee design to improve joint torque and life for bipedal robotics (2018)
Journal Article
Steele, A., Hunt, A., & Etoundi, A. C. (2018). Biomimetic knee design to improve joint torque and life for bipedal robotics. Lecture Notes in Artificial Intelligence, 10965 LNAI, 91-102. https://doi.org/10.1007/978-3-319-96728-8_8

© Springer International Publishing AG, part of Springer Nature 2018. This paper details the design, construction, and performance analysis of a biologically inspired knee joint for use in bipedal robotics. The design copies the condylar surfaces of... Read More about Biomimetic knee design to improve joint torque and life for bipedal robotics.

'Elbows Out' - Predictive tracking of partially occluded pose for Robot-Assisted dressing (2018)
Journal Article
Chance, G., Jevtic, A., Caleb-Solly, P., Alenya, G., Torras, C., & Dogramadzi, S. (2018). 'Elbows Out' - Predictive tracking of partially occluded pose for Robot-Assisted dressing. IEEE Robotics and Automation Letters, 3(4), 3598-3605. https://doi.org/10.1109/LRA.2018.2854926

© 2016 IEEE. Robots that can assist in the activities of daily living, such as dressing, may support older adults, addressing the needs of an aging population in the face of a growing shortage of care professionals. Using depth cameras during robot-a... Read More about 'Elbows Out' - Predictive tracking of partially occluded pose for Robot-Assisted dressing.

Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance (2018)
Journal Article
Caleb-Solly, P., Dogramadzi, S., Huijnen, C. A., & van den Heuvel, H. (2018). Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. Information Society, 34(3), 153-165. https://doi.org/10.1080/01972243.2018.1444255

© Praminda Caleb-Solly, Sanja Dogramadzi, Claire A.G.J. Huijnen, and Herjan van den Heuvel. This article reports findings from a usability and user experience evaluations conducted in the last 2 years of a 4-year assistive robotics research project u... Read More about Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance.

Robot-Assisted Fracture Surgery: Surgical Requirements and System Design (2018)
Journal Article
Georgilas, I., Dagnino, G., Tarassoli, P., Atkins, R., & Dogramadzi, S. (2018). Robot-Assisted Fracture Surgery: Surgical Requirements and System Design. Annals of Biomedical Engineering, 46(10), 1637-1649. https://doi.org/10.1007/s10439-018-2005-y

© 2018, Biomedical Engineering Society. The design of medical devices is a complex and crucial process to ensure patient safety. It has been shown that improperly designed devices lead to errors and associated accidents and costs. A key element for a... Read More about Robot-Assisted Fracture Surgery: Surgical Requirements and System Design.

Personalized robot assistant for support in dressing (2018)
Journal Article
Jevtic, A., Valle, A. F., Alenya, G., Chance, G., Caleb-Solly, P., Dogramadzi, S., & Torras, C. (2018). Personalized robot assistant for support in dressing. IEEE Transactions on Cognitive and Developmental Systems, https://doi.org/10.1109/TCDS.2018.2817283

Robot-assisted dressing is performed in close physical interaction with users who may have a wide range of physical characteristics and abilities. Design of user adaptive and personalized robots in this context is still indicating limited, or no cons... Read More about Personalized robot assistant for support in dressing.

Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures (2017)
Journal Article
Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R., & Dogramadzi, S. (2017). Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures. Annals of Biomedical Engineering, 45(11), 2648-2662. https://doi.org/10.1007/s10439-017-1901-x

© 2017, The Author(s). Complex joint fractures often require an open surgical procedure, which is associated with extensive soft tissue damages and longer hospitalization and rehabilitation time. Percutaneous techniques can potentially mitigate these... Read More about Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures.

Unsupervised machine learning for developing personalised behaviour models using activity data (2017)
Journal Article
Fiorini, L., Cavallo, F., Dario, P., Eavis, A., & Caleb-Solly, P. (2017). Unsupervised machine learning for developing personalised behaviour models using activity data. Sensors, 17(5), Article 1034. https://doi.org/10.3390/s17051034

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people’s homes. These include the costs associated with havin... Read More about Unsupervised machine learning for developing personalised behaviour models using activity data.

Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery (2017)
Journal Article
Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R., & Dogramadzi, S. (2017). Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery. International Journal of Computer Assisted Radiology and Surgery, 12(8), 1383-1397. https://doi.org/10.1007/s11548-017-1602-9

© 2017, The Author(s). Purpose: Joint fractures must be accurately reduced minimising soft tissue damages to avoid negative surgical outcomes. To this regard, we have developed the RAFS surgical system, which allows the percutaneous reduction of intr... Read More about Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery.

A quantitative analysis of dressing dynamics for robotic dressing assistance (2017)
Journal Article
Chance, G., Jevtić, A., Caleb-Solly, P., & Dogramadzi, S. (2017). A quantitative analysis of dressing dynamics for robotic dressing assistance. Frontiers in Robotics and AI, 4(MAY), https://doi.org/10.3389/frobt.2017.00013

© 2017 Chance, Jevtić, Caleb-Solly and Dogramadzi. Assistive robots have a great potential to address issues related to an aging population and an increased demand for caregiving. Successful deployment of robots working in close proximity with people... Read More about A quantitative analysis of dressing dynamics for robotic dressing assistance.