Title : 
PSchema: A developmental schema learning framework for embodied agents
         
        
            Author : 
Sheldon, Michael ; Lee, Mark
         
        
            Author_Institution : 
Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
         
        
        
        
        
        
            Abstract : 
In this paper we introduce PSchema, a framework for Piagetian schema learning which allows for the direct use of symbolic schema learning in a robotic environment. We show the benefit of a developmental progression to aid in the learning of the system and introduce a generalisation mechanism which further increases the capabilities of these techniques. Using a robotic arm we demonstrate the system´s ability to learn to touch objects placed in front of it and how it can represent the knowledge gained from this in a manner suitable for continuous on-line learning. We then go on to demonstrate how these mechanisms can be used to provide a framework for the learning of language, grounded in the robot´s sensory perception of the world.
         
        
            Keywords : 
learning (artificial intelligence); manipulators; multi-agent systems; PSchema; Piagetian schema learning; continuous on-line learning; developmental schema learning framework; embodied agents; robot sensory perception; robotic arm; robotic environment; symbolic schema learning; Fires; Robots; Developmental Learning; Embodied Cognition; Grounding of Knowledge and Representations; Language Acquisition;
         
        
        
        
            Conference_Titel : 
Development and Learning (ICDL), 2011 IEEE International Conference on
         
        
            Conference_Location : 
Frankfurt am Main
         
        
        
            Print_ISBN : 
978-1-61284-989-8
         
        
        
            DOI : 
10.1109/DEVLRN.2011.6037380