Visual identification and similarity measures used for on-line motion planning of autonomous robots in unknown environments

Fredy Martínez; Fernando Martínez; Edwar Jacinto

doi:10.1117/12.2266997

8 February 2017 Visual identification and similarity measures used for on-line motion planning of autonomous robots in unknown environments

Fredy Martínez, Fernando Martínez, Edwar Jacinto

Author Affiliations +

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102251M (2017) https://doi.org/10.1117/12.2266997
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

Abstract

In this paper we propose an on-line motion planning strategy for autonomous robots in dynamic and locally observable environments. In this approach, we first visually identify geometric shapes in the environment by filtering images. Then, an ART-2 network is used to establish the similarity between patterns. The proposed algorithm allows that a robot establish its relative location in the environment, and define its navigation path based on images of the environment and its similarity to reference images. This is an efficient and minimalist method that uses the similarity of landmark view patterns to navigate to the desired destination. Laboratory tests on real prototypes demonstrate the performance of the algorithm.

Citation Download Citation

Fredy Martínez, Fernando Martínez, and Edwar Jacinto "Visual identification and similarity measures used for on-line motion planning of autonomous robots in unknown environments", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251M (8 February 2017); https://doi.org/10.1117/12.2266997

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