Optimization of Robot Movements Using Genetic Algorithms and Simulation

Zahn, Brandon; Fountain, Jake; Houliston, Trent; Biddulph, Alexander; Chalup, Stephan K.; Mendes, Alexandre

doi:10.1007/978-3-030-35699-6_38

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Results from two solutions based on the genetic algorithm of Zahn et al (89). Panel a shows one set of optimized movements; although the distance covered is slightly shorter than that of panel b, the stability is slightly better.…”

Section: Actionmentioning

confidence: 99%

Scientific and Technological Challenges in RoboCup

Asada

Stryk

2020

Annu. Rev. Control Robot. Auton. Syst.

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Since its inception in 1997, RoboCup has developed into a truly unique and long-standing research community advancing robotics and artificial intelligence through various challenges, benchmarks, and test fields. The main purposes of this article are to evaluate the research and development achievements so far and to identify new challenges and related new research issues. Unlike other robot competitions and research conferences, RoboCup eliminates the boundaries between pure research activities and the development of full system designs with hardware and software implementations at a site open to the public. It also creates specific scientific and technological research and development challenges to be addressed. In this article, we provide an overview of RoboCup, including its league structure and related research issues. We also review recent studies across several research categories to show how participants (called RoboCuppers) address the research and development challenges before, during, and after the annual competitions. Among the diversity of research issues, we highlight two unique aspects of the challenges: the platform design of the robots and the game evaluations. Both of these aspects contribute to solving the research and development challenges of RoboCup and verifying the results from a common perspective (i.e., a more objective view). Finally, we provide concluding remarks and discuss future research directions.

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Section: Actionmentioning

confidence: 99%