Generalising Predictable Object Movements Through Experience Using Schemas
In humans, repeated exposure to the effects of events can lead to anticipation of these effects. This behaviour has been observed in infants from as young as 3 months old. During infant experiments, the infants have been observed to predict either by pre-saccadic movements or reach actions according to the expected future outcome of the event. Event anticipation or prediction is necessary for such behaviours. In this paper we demonstrate prediction of object motion events using the adaptive learning tool Dev-PSchema. Results shows that the system is able to predict the linear motion outcome of the visual event using generalised schemas.
KeywordsDevelopmental robotics Psychologically inspired Action prediction
This research is supported by the Aberystwyth University Doctoral Training Programme, Sukkur IBA (Pakistan) Faculty Development Program and the UK Engineering and Physical Sciences Research Council (EPSRC), grant No. EP/M013510/1. We are grateful for contributions from our recent research colleagues, in particularly Dr. Michael Sheldon, for the development of the PSchema tool.
- 4.Cangelosi, A., Schlesinger, M., Smith, L.B.: Developmental Robotics: From Babies to Robots. MIT Press, Cambridge (2015)Google Scholar
- 7.Geib, C., Mourao, K., Petrick, R., Pugeault, N., Steedman, M., Krueger, N., Wörgötter, F.: Object action complexes as an interface for planning and robot control. In: IEEE RAS International Conference on Humanoid Robots (2006)Google Scholar
- 8.Hermans, T., Rehg, J.M., Bobick, A.: Affordance prediction via learned object attributes. In: IEEE International Conference on Robotics and Automation (ICRA): Workshop on Semantic Perception, Mapping, and Exploration. Citeseer (2011)Google Scholar
- 14.Schlesinger, M., Casey, P.: Visual Expectations in Infants: Evaluating the Gaze-Direction Model. Lund University Cognitive Studies (2003)Google Scholar
- 16.Sheldon, M.: Intrinsically motivated developmental learning of communication in robotic agents. Ph.D. thesis, Aberystwyth University (2013)Google Scholar
- 17.Sheldon, M., Lee, M.: Pschema: A developmental schema learning framework for embodied agents. In: 2011 IEEE International Conference on Development and Learning (ICDL), vol. 2, pp. 1–7. IEEE (2011)Google Scholar