Auto-generated Control Program in Mobile Robot using Grammatical Evolution
Auto-generated Control Program in Mobile Robot using Grammatical Evolution
复制标题
使用语法进化自动生成移动机器人控制程序
DOI:
10.1145/3573910.3573921
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Kita Eisuke
中科院分区:
文献类型:
--
作者:
Sukarman Firdaus;Kita Eisuke
Complexity of robot control program is become a problem as variety of robot used today is dramatically increased due to demand of automation. Several studies has been made using GE to solve robot tasks but application in actual environment is still lack of proof. In this research, auto-generated control program using Grammatical Evolution (GE) is proposed to resolve the burden of constructing manually adjusted control program that consider both physical condition of robot and input from sensors. Grammatical Evolution (GE) is a genetic programming that map genotype to phenotype using predetermined grammar. As GE is subset to Genetic Programming which produce heuristics solution, the grammar-based algorithm enable the search range evolve in a set of rules. This search strategy can be applied to build the structure of control program which consists of multiple sets of program blocks with adjustable parameter. This system is evaluated using Santa Fe Trail problem with open world configuration. The results show the usability of the algorithm by manipulating crossover and mutation rates. Another important factors that effect the performance of the algorithm is the grammar that can govern the evolution of the control program. The proposed method able to generate control automatically with sets of rules determined using grammar.
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DOI:
10.1145/3077286.3077327
发表时间:
2017
期刊:
Proceedings of the SouthEast Conference
影响因子:
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作者:
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通讯作者:
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DOI:
10.1145/3205455.3205619
发表时间:
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期刊:
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影响因子:
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DOI:
10.1115/dscc2018-8957
发表时间:
2018
期刊:
Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction;
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1992
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