Robotic Tactile Recognition of Pseudorandom Encoded Objects
| Autor: | S.R. Das, Emil M. Petriu, H.J.W. Spoelder, Ana-Maria Cretu, S.K. Yeung |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Pseudorandom number generator
Artificial neural network Computer science business.industry Cognitive neuroscience of visual object recognition Window (computing) Object (computer science) Encoding (memory) Face (geometry) Computer vision Artificial intelligence Electrical and Electronic Engineering business Instrumentation Tactile sensor |
| Zdroj: | IEEE Transactions on Instrumentation and Measurement. 53:1425-1432 |
| ISSN: | 0018-9456 |
| DOI: | 10.1109/tim.2004.834100 |
| Popis: | This paper discusses an original model-based method for blind robotic tactile recognition of three-dimensional objects. Conveniently shaped geometric symbols representing terms of a pseudorandom array (PRA) are embossed on object surfaces. Symbols recovered by tactile probing are recognized using a neural network and then clustered in a PRA window that contains enough information to fully identify the absolute coordinates of the recovered window within the encoding PRA. By knowing how different object models were mapped to the PRA, it is possible to unambiguously identify the object face and the exact position of the recovered symbols on the face. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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