TY - GEN
T1 - An extention of height value algorithm for micro-mouse robot applying for exploring unknown region
AU - Li, Zhengtian
AU - Duan, Haibin
AU - Gao, Yan
AU - Dong, Zhuoning
PY - 2011
Y1 - 2011
N2 - The micro-mouse competition is gaining immense popularity universally. This paper proposes algorithm referred to the extended height value algorithm which is developed to an advanced level, so that the artificial robot could be made capable of exploring unknown regions such as micro-mouse competition maze. All of the 256 units in the standard 1616 units maze are given a series of numbers, which represent discretely assigned potential levels of turning into the crossway during exploring task. The numbers will be taken into consideration when the robot makes the crossway choice as well as autonomous route decisions. Then the choices will alter when the micro-mouse walks in order to optimize the exploring process. The paper also demonstrates effective measures to avoid duplication exploring as much as possible with artificial intelligence technique. In order to verify the developed algorithm, a simple, yet effective simulation program is coded to show that the improved algorithm has higher average efficiency compared with the less intelligent traditional algorithms.
AB - The micro-mouse competition is gaining immense popularity universally. This paper proposes algorithm referred to the extended height value algorithm which is developed to an advanced level, so that the artificial robot could be made capable of exploring unknown regions such as micro-mouse competition maze. All of the 256 units in the standard 1616 units maze are given a series of numbers, which represent discretely assigned potential levels of turning into the crossway during exploring task. The numbers will be taken into consideration when the robot makes the crossway choice as well as autonomous route decisions. Then the choices will alter when the micro-mouse walks in order to optimize the exploring process. The paper also demonstrates effective measures to avoid duplication exploring as much as possible with artificial intelligence technique. In order to verify the developed algorithm, a simple, yet effective simulation program is coded to show that the improved algorithm has higher average efficiency compared with the less intelligent traditional algorithms.
KW - Extension of Height Values
KW - Micro-mouse robot
KW - Unknown Maze Exploration Strategy
UR - https://www.scopus.com/pages/publications/80052186980
U2 - 10.1109/ICIEA.2011.5975611
DO - 10.1109/ICIEA.2011.5975611
M3 - 会议稿件
AN - SCOPUS:80052186980
SN - 9781424487554
T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
SP - 370
EP - 375
BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Y2 - 21 June 2011 through 23 June 2011
ER -