Professor John Murray

Professor John Murray

Professor of Robotics and Autonomous Systems

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Qualifications

  • BEng (Aberystwyth University)
  • PhD (University of Sunderland )
  • PGCert (University of Lincoln)

Recent outputs

View more outputs

Journal Article

Virtual reality crowd simulation: effects of agent density on user experience and behaviour

Dickinson, P., Gerling, K., Hicks, K., Murray, J., Shearer, J., & Greenwood, J. (2019). Virtual reality crowd simulation: effects of agent density on user experience and behaviour. Virtualreality : the journal of the Virtual Reality Society, 23(1), 19-32. https://doi.org/10.1007/s10055-018-0365-0

Perception of artificial conspecifics by bearded dragons (Pogona vitticeps)

Frohnwieser, A., Pike, T. W., Murray, J. C., & Wilkinson, A. (2019). Perception of artificial conspecifics by bearded dragons (Pogona vitticeps). Integrative Zoology, 14(2), 214-222. https://doi.org/10.1111/1749-4877.12303

Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps)

Frohnwieser, A., Pike, T., Murray, J., & Wilkinson, A. (2017). Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps). Animal behavior and cognition, 4(3), 340-348. https://doi.org/10.26451/abc.04.03.11.2017

Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot

Biswas, M., & Murray, J. (2016). Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot. International journal of artificial life research, 6(1), 1-29. https://doi.org/10.4018/ijalr.2016010101

The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots

Biswas, M., & Murray, J. (2017). The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots. Cognitive systems research, 43, 266-290. https://doi.org/10.1016/j.cogsys.2016.07.007

Project

Funder

Grant

Started

Status

Project

Adaptive Real-Time Scanning for novel detections of illicit items.

Funder

Innovate UK (use I0075A)

Grant

£46,384.00

Started

13 May 2019

Status

Complete

Project

SKYPERION - Autonomous and Intelligent UAV Detection

Funder

Innovate UK (use I0075A)

Grant

£37,301.00

Started

1 May 2018

Status

Complete

Project

ProTEcTME: Proposal based exTEnsible Threat detection fraMEwork

Funder

Home Office

Grant

£114,443.00

Started

9 April 2018

Status

Complete