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Virtual reality crowd simulation: effects of agent density on user experience and behaviour (2018)
Journal Article
Dickinson, P., Gerling, K., Hicks, K., Murray, J., Shearer, J., & Greenwood, J. (in press). Virtual reality crowd simulation: effects of agent density on user experience and behaviour. Virtualreality : the journal of the Virtual Reality Society, doi:10.1007/s10055-018-0365-0

Agent-based crowd simulations are used for modelling building and space usage, allowing designers to explore hypothetical real-world scenarios, including extraordinary events such as evacuations. Existing work which engages virtual reality (VR) as a... Read More

Perception of artificial conspecifics by bearded dragons (Pogona vitticeps) (2018)
Journal Article
Frohnwieser, A., Pike, T. W., Murray, J. C., & Wilkinson, A. (2018). Perception of artificial conspecifics by bearded dragons (Pogona vitticeps). Integrative Zoology, doi:10.1111/1749-4877.12303

Artificial animals are increasingly used as conspecific stimuli in animal behavior research. However, researchers often have an incomplete understanding of how the species under study perceives conspecifics, and hence which features needed for a stim... Read More

Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps) (2017)
Journal Article
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. doi:10.26451/abc.04.03.11.2017

Lateralized eye use is thought to increase brain efficiency, as the two hemispheres process different information perceived by the eyes. It has been observed in a wide variety of vertebrate species and, in general, information about conspecifics appe... Read More

Using robots to understand animal cognition (2016)
Journal Article
Frohnwieser, A., Murray, J. C., Pike, T. W., & Wilkinson, A. (2016). Using robots to understand animal cognition. Journal of the Experimental Analysis of Behavior, 105(1), 14-22. doi:10.1002/jeab.193

In recent years, robotic animals and humans have been used to answer a variety of questions related to behavior. In the case of animal behavior, these efforts have largely been in the field of behavioral ecology. They have proved to be a useful tool... Read More

Using robots to understand animal social cognition (2016)
Journal Article
Frohnwieser, A., Murray, J., Pike, T., & Wilkinson, A. (2016). Using robots to understand animal social cognition. Journal of the Experimental Analysis of Behavior, 105(1), 14-22. doi:10.1002/jeab.193

In recent years, robotic animals and humans have been used to answer a variety of questions related to behavior. In the case of animal behavior, these efforts have largely been in the field of behavioral ecology. They have proved to be a useful tool... Read More

A computer vision approach to classification of birds in flight from video sequences (2015)
Conference Proceeding
Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2015). A computer vision approach to classification of birds in flight from video sequences. In Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), 3.1-3.9. doi:10.5244/c.29.mvab.3

Bird populations are an important bio-indicator, ; so collecting reliable data is useful for ecologists helping conserve and manage fragile ecosystems. However, existing manual monitoring methods are labour-intensive, time-consuming, and error-prone.... Read More

Automatic classification of flying bird species using computer vision techniques (2015)
Journal Article
Atanbori, J., Duan, W., Appiah, K., Murray, J., & Dickinson, P. (2016). Automatic classification of flying bird species using computer vision techniques. Pattern recognition letters, 81, (53-62). doi:10.1016/j.patrec.2015.08.015. ISSN 0167-8655

Bird populations are identified as important biodiversity indicators, so collecting reliable population data is important to ecologists and scientists. However, existing manual monitoring methods are labour-intensive, time-consuming, and potentially... Read More

Colias: An autonomous micro robot for swarm robotic applications (2014)
Journal Article
Arvin, F., Murray, J., Zhang, C., & Yue, S. (2014). Colias: An autonomous micro robot for swarm robotic applications. International journal of advanced robotic systems, 11(1), 113. doi:10.5772/58730

Robotic swarms that take inspiration from nature are becoming a fascinating topic for multi-robot researchers. The aim is to control a large number of simple robots in order to solve common complex tasks. Due to the hardware complexities and cost of... Read More

Development and deployment of an intelligent kite aerial photography platform (iKAPP) for site surveying and image acquisition (2013)
Journal Article
Murray, J. C., Neal, M. J., & Labrosse, F. (2013). Development and deployment of an intelligent kite aerial photography platform (iKAPP) for site surveying and image acquisition. Journal of field robotics, 30(2), 288-307. doi:10.1002/rob.21448

Aerial photographs and images are used by a variety of industries, including farming, landscaping, surveying, and agriculture, as well as academic researchers including archaeologists and geologists. Aerial imagery can provide a valuable resource for... Read More

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks (2009)
Journal Article
Murray, J. C., Erwin, H. R., & Wermter, S. (2009). Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22(2), 173-189. doi:10.1016/j.neunet.2009.01.013

In this paper we present a sound-source model for localising and tracking an acoustic source of interest along the azimuth plane in acoustically cluttered environments, for a mobile service robot. The model we present is a hybrid architecture using c... Read More

A recurrent neural network for sound-source motion tracking and prediction (2005)
Conference Proceeding
Murray, J. C., Erwin, H., & Wermter, S. (2005). A recurrent neural network for sound-source motion tracking and prediction. In Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, 2232-2236. doi:10.1109/IJCNN.2005.1556248

Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires exten... Read More