29 May 2007 Adaptive bioinspired landmark identification for navigation control
Author Affiliations +
Abstract
In this paper a new methodology for landmark navigation will be introduced. Either for animals or for artificial agents, the whole problem of landmark navigation can be divided into two parts: first, the agent has to recognize, from the dynamic environment, space invariant objects which can be considered as suitable landmarks for driving the motion towards a goal position; second, it has to use the information on the landmarks to effectively navigate within the environment. Here, the problem of determining landmarks has been addressed by processing the external information through a spiking network with dynamic synapses plastically tuned by an STDP algorithm. The learning processes establish correlations between the incoming stimuli, allowing the system to extract from the scenario important features which can play the role of landmarks. Once established the landmarks, the agent acquires geometric relationships between them and the goal position. This process defines the parameters of a recurrent neural network (RNN). This in turn drives the agent navigation, filtering the information about landmarks given within an absolute reference system (e.g the North). When the absolute reference is not available, a safety mechanism acts to control the motion maintaining a correct heading. Simulation results showed the potentiality of the proposed architecture: this is able to drive an agent towards the desired position in presence of stimuli subject to noise and also in the case of partially obscured landmarks.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paolo Arena, Paolo Arena, Holk Cruse, Holk Cruse, Luigi Fortuna, Luigi Fortuna, Davide Lombardo, Davide Lombardo, Luca Patané, Luca Patané, Rosa Rapisarda, Rosa Rapisarda, } "Adaptive bioinspired landmark identification for navigation control", Proc. SPIE 6592, Bioengineered and Bioinspired Systems III, 65920L (29 May 2007); doi: 10.1117/12.724287; https://doi.org/10.1117/12.724287
PROCEEDINGS
12 PAGES


SHARE
Back to Top