Biologically-inspired visual-motor coordination model in a navigation problem

Authors:
Jacek Jelonek;Maciej Komosinski
Affiliations:
Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

Citing 3
Cited 2

Uninorm aggregation operators

Fuzzy Sets and Systems
Artificial Life Models in Software

Artificial Life Models in Software
Gradient descent learning algorithm overview: a general dynamical systems perspective

IEEE Transactions on Neural Networks

Pure reactive behavior learning using Case Based Reasoning for a vision based 4-legged robot

Robotics and Autonomous Systems
Case-based reasoning emulation of persons for wheelchair navigation

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work presents a biologically-inspired coordination model which associates motor actions with visual stimuli. The model is introduced and explained, and navigation experiments are reported that verify the implemented visual-motor system. Experiments demonstrate that the system can be trained to solve navigation problems consisting in moving around a 3D object to reach a specific location based on the visual information only. The model is flexible, as it is composed of an adjustable number of modules. It is also interpretable, i.e. it is possible to estimate the influence of visual features on the motor action.