Literature DB >> 17148054

Biologically inspired adaptive walking of a quadruped robot.

Hiroshi Kimura1, Yasuhiro Fukuoka, Avis H Cohen.   

Abstract

We describe here the efforts to induce a quadruped robot to walk with medium-walking speed on irregular terrain based on biological concepts. We propose the necessary conditions for stable dynamic walking on irregular terrain in general, and we design the mechanical and the neural systems by comparing biological concepts with those necessary conditions described in physical terms. PD-controller at joints constructs the virtual spring-damper system as the viscoelasticity model of a muscle. The neural system model consists of a central pattern generator (CPG), reflexes and responses. We validate the effectiveness of the proposed neural system model control using the quadruped robots called 'Tekken1&2'. MPEG footage of experiments can be seen at http://www.kimura.is.uec.ac.jp.

Mesh:

Year:  2007        PMID: 17148054     DOI: 10.1098/rsta.2006.1919

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  5 in total

1.  Simple robot suggests physical interlimb communication is essential for quadruped walking.

Authors:  Dai Owaki; Takeshi Kano; Ko Nagasawa; Atsushi Tero; Akio Ishiguro
Journal:  J R Soc Interface       Date:  2012-11-08       Impact factor: 4.118

2.  Tegotae-Based Control Produces Adaptive Inter- and Intra-limb Coordination in Bipedal Walking.

Authors:  Dai Owaki; Shun-Ya Horikiri; Jun Nishii; Akio Ishiguro
Journal:  Front Neurorobot       Date:  2021-05-12       Impact factor: 2.650

Review 3.  Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review.

Authors:  Shinya Aoi; Poramate Manoonpong; Yuichi Ambe; Fumitoshi Matsuno; Florentin Wörgötter
Journal:  Front Neurorobot       Date:  2017-08-23       Impact factor: 2.650

4.  Switching Adaptability in Human-Inspired Sidesteps: A Minimal Model.

Authors:  Keisuke Fujii; Yuki Yoshihara; Hiroko Tanabe; Yuji Yamamoto
Journal:  Front Hum Neurosci       Date:  2017-06-07       Impact factor: 3.169

5.  Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity.

Authors:  Nathan A Fitzsimmons; Mikhail A Lebedev; Ian D Peikon; Miguel A L Nicolelis
Journal:  Front Integr Neurosci       Date:  2009-03-09
  5 in total

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