All Outputs (4)

A novel mirror neuron inspired decision-making architecture for human–robot interaction (2023)
Journal Article
Sobhani, M., Smith, J., Pipe, A., & Peer, A. (in press). A novel mirror neuron inspired decision-making architecture for human–robot interaction. International Journal of Social Robotics, https://doi.org/10.1007/s12369-023-00988-0

Inspired by the role of mirror neurons and the importance of predictions in joint action, a novel decision-making structure is proposed, designed and tested for both individual and dyadic action. The structure comprises models representing individual... Read More about A novel mirror neuron inspired decision-making architecture for human–robot interaction.

Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia (2020)
Journal Article
Steer, Z., Pipe, A., Battle, S., & Cheston, R. (2020). Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia. Alzheimer's and Dementia, 16(S7), Article e039705. https://doi.org/10.1002/alz.039705

SABRE: A bio-inspired fault-tolerant electronic architecture (2013)
Journal Article
Pipe, A. G., Dragffy, G., Samie, M., Liu, Y., Bremner, P., Bremner, P., …Tyrrell, A. M. (2013). SABRE: A bio-inspired fault-tolerant electronic architecture. Bioinspiration and Biomimetics, 8(1), https://doi.org/10.1088/1748-3182/8/1/016003

As electronic devices become increasingly complex, ensuring their reliable, fault-free operation is becoming correspondingly more challenging. It can be observed that, in spite of their complexity, biological systems are highly reliable and fault tol... Read More about SABRE: A bio-inspired fault-tolerant electronic architecture.

Lump localisation through a deformation-based tactile feedback system using a biologically inspired finger sensor (2012)
Journal Article
Pipe, T., Roke, C., Melhuish, C., Pipe, A. G., Drury, D., & Chorley, C. (2012). Lump localisation through a deformation-based tactile feedback system using a biologically inspired finger sensor. Robotics and Autonomous Systems, 60(11), 1442-1448. https://doi.org/10.1016/j.robot.2012.05.002

The ability to localise harder areas in soft tissues is often desired during robot-assisted surgical operations. A deformation-based tactile feedback system was tested for the detection of objects within soft tissues, after being chosen over common p... Read More about Lump localisation through a deformation-based tactile feedback system using a biologically inspired finger sensor.