1 ClipBot an educational physically impaired robot that learns to walk via genetic algorithm optimization Diego U lisse Pizzagalli1 Ilaria Arini2 Mauro Prevostini2

2025-04-30 0 0 250.17KB 5 页 10玖币
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ClipBot: an educational, physically impaired robot
that learns to walk via genetic algorithm optimization
Diego Ulisse Pizzagalli1,*, Ilaria Arini2, Mauro Prevostini2
1. Faculty of Biomedical Sciences, USI Switzerland
2. Faculty of Informatics, USI Switzerland
* Correspondence: pizzad@usi.ch
Abstract
Educational robots allow experimenting with a variety of principles from mechanics,
electronics, and informatics. Here we propose ClipBot, a low-cost, do-it-yourself, robot whose
skeleton is made of two paper clips. An Arduino nano microcontroller actuates two servo
motors that move the paper clips. However, such mechanical configuration confers physical
impairments to movement.
This creates the need for and allows experimenting with artificial intelligence methods to
overcome hardware limitations.
We report our experience in the usage of this robot during the study week ‘fascinating
informatics’, organized by the Swiss Foundation Schweizer Jugend Forscht (www.sjf.ch).
Students at the high school level were asked to implement a genetic algorithm to optimize the
movements of the robot until it learned to walk. Such a methodology allowed the robot to
learn the motor actuation scheme yielding straight movement in the forward direction using
less than 20 iterations.
Keywords: Educational robots, Genetic algorithms, Embedded artificial intelligence
摘要:

1ClipBot:aneducational,physicallyimpairedrobotthatlearnstowalkviageneticalgorithmoptimizationDiegoUlissePizzagalli1,*,IlariaArini2,MauroPrevostini21.FacultyofBiomedicalSciences,USI–Switzerland2.FacultyofInformatics,USI–Switzerland*Correspondence:pizzad@usi.chAbstractEducationalrobotsallowexperimenti...

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分类:图书资源 价格:10玖币 属性:5 页 大小:250.17KB 格式:PDF 时间:2025-04-30

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