Associating SOM Representations of Haptic Submodalities
Author
Editor
- Subramanian Ramamoorthy
- Gillian M. Hayes
Summary, in English
We have experimented with a bio-inspired selforganizing
texture and hardness perception system which
automatically learns to associate the representations of the two
submodalities with each other. To this end we have developed
a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. The system is based on a novel variant of the Self-Organizing Map (SOM), called Associative Self-Organizing Map (A-SOM). The A-SOM both develops a representation of its input space and learns to associate this with the activity in an external SOM or A-SOM. The system was trained and tested with multiple samples gained from the exploration of a set of 4 soft and 4 hard objects of different materials with varying textural properties. The system successfully found representations of the texture and hardness submodalities and also learned to associate these with each other.
texture and hardness perception system which
automatically learns to associate the representations of the two
submodalities with each other. To this end we have developed
a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. The system is based on a novel variant of the Self-Organizing Map (SOM), called Associative Self-Organizing Map (A-SOM). The A-SOM both develops a representation of its input space and learns to associate this with the activity in an external SOM or A-SOM. The system was trained and tested with multiple samples gained from the exploration of a set of 4 soft and 4 hard objects of different materials with varying textural properties. The system successfully found representations of the texture and hardness submodalities and also learned to associate these with each other.
Department/s
Publishing year
2008
Language
English
Pages
124-129
Publication/Series
Proceedings of Towards Autonomous Robotic Systems 2008 : The University of Edinburgh. September 1 st – 3 rd 2008
Links
Document type
Conference paper
Publisher
University of Edinburgh
Topic
- Computer Vision and Robotics (Autonomous Systems)
Conference name
Towards Autonomous Robotic Systems 2008
Conference date
2008-09-01 - 2008-09-03
Conference place
Edinburgh, United Kingdom
Status
Published
Project
- Ikaros: An infrastructure for system level modelling of the brain
Research group
- Lund University Cognitive Science (LUCS)
ISBN/ISSN/Other
- ISBN: 1906849005
- ISBN: 9781906849009