• Title/Summary/Keyword: Automatic Locomotion Generation

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Generation of Locomotion for Snake-like Robot using Genetic Algorithm and Analysis for Selections of Partial Modules (유전알고리즘을 사용한 뱀형 로봇의 이동 생성 및 부분모듈 선택 분석)

  • Ahn, Ihn-Seok;Jang, Jae-Young;Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.661-666
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    • 2009
  • Modular snake-like robots, which consist of series of modules, are robust for failure and have flexible locomotions for environment. However, they are difficult to control and few efficient and various locomotions are introduced yet. In this paper, GA based phase generation and trajectory generation approaches are implemented and compared for locomotion of snake-like robots and extended for analysis for selections of partial modules. In addition, modeling and simulation environments are implemented in Webots simulator and above GA based experiments for locomotion are executed for KMC snake-like robot.

Two Evolutionary Gait Generation Methods for Quadruped Robots in Cartesian Coordinates Space and Join Coordinates Space (직교좌표공간과 관절공간에서의 4족 보행로봇의 두 가지 진화적 걸음새 생성기법)

  • Seo, Kisung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.3
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    • pp.389-394
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    • 2014
  • Two evolutionary gait generation methods for Cartesian and Joint coordinates space are compared to develop a fast locomotion for quadruped robots. GA(Genetic Algorithm) based approaches seek to optimize a pre-selected set of parameters for the locus of paw and initial position in cartesian coordinates space. GP(Genetic Programming) based technique generate few joint trajectories using symbolic regression in joint coordinates space as a form of polynomials. Optimization for two proposed methods are executed using Webots simulation for the quadruped robot which is built by Bioloid. Furthermore, simulation results for two proposed methods are analysed in terms of different coordinate spaces.

A Comparative Study between Genetic Programming and Central Pattern Generator Based Gait Generation Methods for Quadruped Robots (4족 보행로봇의 걸음새에 대한 Genetic Programming 기법과 Central Pattern Generator 기반 생성기법의 비교 연구)

  • Hyun, Soo-Hwan;Cho, Young-Wan;Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.6
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    • pp.749-754
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    • 2009
  • Two gait generation methods using GP(genetic programming) and CPG(Central Pattern Generator) are compared to develop a fast locomotion for quadruped robot. GP based technique is an effective way to generate few joint trajectories instead of the locus of paw positions and lots of stance parameters. The CPGs are neural circuits that generate oscillatory output from a input coming from the brain. Optimization for two proposed methods are executed and analysed using Webots simulation for the quadruped robot which is built by Bioloid. Furthermore, simulation results for two proposed methods are experimented in real quadruped robot and performances and motion features of GP and CPG based methods are investigated.