Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Towards applicable ballistic walking.

R Q van der Linde1

  • 1Delft University of Technology, Man-Machine Systems and Control Group, Faculty of Design, Engineering and Production, The Netherlands. R.Q.vanderLinde@wbmt.tudelft.nl

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|February 9, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Passive bipedal walking with phasic muscle contraction.

Biological cyberneticsยท1999
See all related articles

Ballistic walking, a self-organizing locomotion, is enhanced with variable parameters for energy input and disturbance control. This research aims to make ballistic walking more robust and applicable in robotics and rehabilitation.

Area of Science:

  • Biomechanics
  • Robotics
  • Control Theory

Background:

  • Ballistic walking offers advantages like self-organization, energy efficiency, and natural movement.
  • A key limitation is the lack of explicit actuation, hindering control and robustness.
  • Existing ballistic walking models often lack mechanisms for active energy input or disturbance rejection.

Purpose of the Study:

  • To extend ballistic walking by incorporating variable intrinsic system parameters.
  • To enable energy input and disturbance control within the ballistic walking framework.
  • To develop a robust and applicable model for ballistic walking in robotics and rehabilitation.

Main Methods:

  • Utilized a limit cycle approach to synthesize walking cycles.
  • Designed controllers for managing cycle dynamics.

Related Experiment Videos

  • Integrated variable intrinsic system parameters for energy input and control.
  • Conducted experiments with a bipedal robot and simulations.

    • Main Results:

    • Demonstrated the synthesis of walking cycles using the limit cycle approach.
    • Successfully designed controllers for managing walking dynamics.
    • Showcased the effectiveness of variable parameters for energy input and disturbance control.
    • Validated the enhanced ballistic walking model through simulations and robotic experiments.

    Conclusions:

    • The integration of variable intrinsic parameters significantly enhances ballistic walking.
    • The developed approach leads to more robust and applicable ballistic locomotion.
    • This research paves the way for advanced robotic applications and improved rehabilitation strategies.