All Outputs (6)

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Conference Proceeding
Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-5). https://doi.org/10.1145/3597512.3599700

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Conference Proceeding
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023). Digital twins for human-assistive robot teams in ambient assisted living. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3597520

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset (2023)
Conference Proceeding
Wu, Z., Moemeni, A., Caleb-Solly, P., & Castle-Green, S. (2023). Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. In 2023 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn54540.2023.10191368

A large number of deep learning based object detection algorithms have been proposed and applied in a wide range of domains such as security, autonomous driving and robotics. In practical usage, objects being occluded are common, and can result in re... Read More about Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.

A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices (2023)
Conference Proceeding
Higgins, A., Llewellyn, A., Dures, E., & Caleb-Solly, P. (2023). A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (12022-12030). https://doi.org/10.1109/icra48891.2023.10161495

Previous research into using robots for pain man-agement has shown promise. However to date, there seems to have been little research investigating user requirements for robotic pain management devices which could be used by adults living with chroni... Read More about A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices.

Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation (2023)
Conference Proceeding
Chen, J., Moemeni, A., & Caleb-Solly, P. (2023). Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. In HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (644-648). https://doi.org/10.1145/3568294.3580165

Robot teleoperation is being explored in a number of application areas, where combining human adaptive intelligence and high precision of robots can provide access to dangerous or inaccessible places, or augment human dexterity. Using virtual reality... Read More about Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation.

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Conference Proceeding
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) (703-707). https://doi.org/10.1109/hri53351.2022.9889658

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.