Journal of Global Research in Computer Sciences | |
Modified IT and E Algorithm for Mobile Robot Self-Adaptation toFailure | |
article | |
Ahed Albadin1  | |
[1] Department of Electrical Systems and Mechanical, Higher Institute for Applied Sciences and Technology | |
关键词: Robot damage recovery; Robotics; Artificial intelligence; Autonomous systems; Bayesian Optimization; | |
DOI : 10.4172/ 2229-371X.13.1.005 | |
来源: Research & Reviews | |
【 摘 要 】
This paper introduces a modified algorithm of the Intelligent Trial and Error Algorithm (IT and E) to help the mobile robots to adapt to failure in a short time. Previous proposed algorithms do not require self-diagnosis as they perform training before the damage occurs. These algorithms do not take into consideration the quality of the chosen solution to overcome a failure. In order to determine a better solution, we developed the (IT and E) algorithm by adding a coefficient related to the distance between the robot’s position and the optimal trajectory. We present the results of the modified algorithm simulated on a mobile hexapod robot. The comparison proves the efficiency of the proposed enhancement which outperformed the last one by four times.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202307140002702ZK.pdf | 1489KB | download |