Dynamical templates for sub-milligram legged locomotion

Abstract

Development of dynamic and agile legged robots has benefitted from the study of biological systems and the identification of low-dimensional dynamical templates. Center-of-mass (COM) dynamics of many running organisms across 5-orders of magnitude in mass exhibit similar bouncy COM behavior consistent with a spring-loaded inverted pendulum (SLIP). However, we have very little understanding whether SLIP running dynamics are employed by low-mass runners such as small arthropods. This STIR will initiate funding towards identification of the dynamics of low-mass legged locomotion in biological and microrobotic systems. This STIR will fund development of a high-bandwidth micro-newton force sensor to measure the instantaneous ground reaction forces during high speed running of milligram and sub-milligram legged insects. We will use this force sensor coupled with a high-speed and multiple view imaging system to identify the running dynamics and kinematics of Argentine ant workers common to Southern California. Informed understanding of low-mass legged locomotion from this STIR will enable follow-up design and development of milligram scale legged microrobots that will be supported by PI Gravish. It is understood that any developmental items and specially designed parts, components, accessories and attachments fabricated under any Department of Defense award resulting from this proposal are being developed for civil and potential military applications. Publically releasable.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 11, 2018
Source ID
W911NF1710145

Entities

People

  • Nicholas Gravish

Organizations

  • Army Contracting Command
  • United States Army
  • University of California, San Diego

Tags

Readers

  • Astronomy/Astrophysics
  • Distributed Systems and Data Platform Development
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control