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Abstract
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.
Original language | English |
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Title of host publication | Proceedings of Towards Autonomous Robotic Systems 2008 |
Subtitle of host publication | The University of Edinburgh. September 1 st – 3 rd 2008 |
Editors | Subramanian Ramamoorthy, Gillian M. Hayes |
Place of Publication | Edinburgh |
Publisher | University of Edinburgh |
Pages | 124-129 |
Number of pages | 6 |
ISBN (Print) | 1906849005, 9781906849009 |
Publication status | Published - 2008 |
Event | Towards Autonomous Robotic Systems 2008 - University of Edinburgh, Edinburgh, United Kingdom Duration: 2008 Sept 1 → 2008 Sept 3 |
Conference
Conference | Towards Autonomous Robotic Systems 2008 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 2008/09/01 → 2008/09/03 |
Subject classification (UKÄ)
- Computer Vision and Robotics (Autonomous Systems)
Fingerprint
Dive into the research topics of 'Associating SOM Representations of Haptic Submodalities'. Together they form a unique fingerprint.Projects
- 1 Finished
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Ikaros: An infrastructure for system level modelling of the brain
Johansson, B. (Researcher), Balkenius, C. (PI), Johnsson, M. (Researcher), Bååth, R. (Researcher), Winberg, S. (Researcher), Gharaee, Z. (Researcher), Tjøstheim, T. A. (Research student) & Krantz, A. (Researcher)
2001/01/01 → 2023/12/31
Project: Research