Sensing with Artificial Tactile Sensors: An Investigation of Spatio-temporal Inference.
DOI: 10.1007/978-3-642-23232-9_23 Conference: Towards Autonomous Robotic Systems - 12th Annual Conference, TAROS 2011, Sheffield, UK, August 31 - September 2, 2011. Proceedings
The ease and efficiency with which biological systems deal with several real world problems, that have been persistently challenging
to implement in artificial systems, is a key motivation in biomimetic robotics. In interacting with its environment, the first
challenge any agent faces is to extract meaningful patterns in the inputs from its sensors. This problem of pattern recognition
has been characterized as an inference problem in cortical computation. The work presented here implements the hierarchical
temporal memory (HTM) model of cortical computation using inputs from an array of artificial tactile sensors to recognize
simple Braille patterns. Although the current work has been implemented using a small array of robot whiskers, the architecture
can be extended to larger arrays of sensors of any arbitrary modality.
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