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MANIPULATION

FACL Based 3D Grasping Controller for a Snake Robot During Locomotion

Evrim Onur Ari, İsmet Erkmen, Aydan M. Erkmen

Year
2006
Citations
2

Abstract

In this paper, we develop a distributed intelligent fuzzy learning controller for serpentine locomotion while doing lasso-type grasping in 3D environments. The novelty of our approach is not only in the control modularity but on a lasso type grasping having as a moving base the remaining snake links undergoing serpentine gait. Dynamical constraints due to environmental conditions are considered online by a genetic algorithm based evaluator, which evaluates the feasibility of behaviors suggested by the high level controller and modify them. Our approach is demonstrated on the simulation of our modular 12 link snake robot

Keywords

Controller (irrigation)Modular designRobotComputer scienceModularity (biology)Artificial intelligenceNoveltyControl engineeringGaitFuzzy control system

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