Intelligent Control of Mobile Robot during Autonomous Inspection of Welding Damage Based on Genetic Algorithm

Authors:
Dong-Ying Ju;Satoshi Kushida
Affiliations:
-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 3
Cited 1

Automatic programming of behavior-based robots using reinforcement learning

Artificial Intelligence
Strongly typed genetic programming

Evolutionary Computation
Evolution of homing navigation in a real mobile robot

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Tripillar: A miniature magnetic caterpillar climbing robot with plane transition ability1

Robotica

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Abstract

In this paper, an intelligent control of a mobile robot in order to inspect damage in welding joint of various steel structures is presented. In the mobile robot, a drive method with caterpillar of equipped stronger magnet coil is employed to navigate on wall of a welding structure. And, a few of photo sensors and a CCD camera are equipped in the robot for recognizing joint line of welding and inspecting welding surface. Here, a genetic algorithm for predicting damage information in the joint line of welding is proposed, and it is possible that recognized map and photograph on the joint line of welding be reproduced on the screen for remote control. Depending on the experiments, reliability of the genetic algorithm is confirmed in the reality of the welding.