Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Tensegrity-based Robot Leg Design with Variable Stiffness
 
conference paper

Tensegrity-based Robot Leg Design with Variable Stiffness

Mortensen, Erik
•
Petrs, Jan  
•
Dittrich, Alexander  
Show more
April 23, 2025
Proceedings of 2025 IEEE 8th International Conference on Soft Robotics (RoboSoft) [forthcoming publication]
8th IEEE-RAS International Conference on Soft Robotics

Animals can finely modulate their leg stiffness to interact with complex terrains and absorb sudden shocks. In feats like leaping and sprinting, animals demonstrate a sophisticated interplay of opposing muscle pairs that actively modulate joint stiffness, while tendons and ligaments act as biological springs storing and releasing energy. Although legged robots have achieved notable progress in robust locomotion, they still lack the refined adaptability inherent in animal motor control. Integrating mechanisms that allow active control of leg stiffness presents a pathway towards more resilient robotic systems. This paper proposes a novel mechanical design to integrate compliancy into robot legs based on tensegrity-a structural principle that combines flexible cables and rigid elements to balance tension and compression. Tensegrity structures naturally allow for passive compliance, making them well-suited for absorbing impacts and adapting to diverse terrains. Our design features a robot leg with tensegrity joints and a mechanism to control the joint's rotational stiffness by modulating the tension of the cable actuation system. We demonstrate that the robot leg can reduce the impact forces of sudden shocks by at least 34.7 % and achieve a similar leg flexion under a load difference of 10.26 N by adjusting its stiffness configuration. The results indicate that tensegrity-based leg designs harbors potential towards more resilient and adaptable legged robots.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

2024_robosoft_tensegrity_leg___Final_Version.pdf

Type

Main Document

Version

http://purl.org/coar/version/c_ab4af688f83e57aa

Access type

restricted

License Condition

N/A

Size

6.6 MB

Format

Adobe PDF

Checksum (MD5)

982ba9ebda1867421b6aa61e928c5e95

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés