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A systematic approach to creating terrain-capable hybrid soft/hard myriapod robots

  • Yasemin Ozkan-Aydin
  • , Baxi Chong
  • , Enes Aydin
  • , Daniel I. Goldman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-legged animals (myriapods) such as centipedes move effectively in diverse terrain; flexible bodies and limbs allow them to morphologically adapt to the environment. To examine how the variation in body/limb forms of myriapods affect the mechanics and performance of terrestrial locomotion, we built a low-cost multi-legged hybrid (containing soft and hard components) robot which has 8 segments, each with two limbs driven out of phase. The back elements and limb pairs are driven by servo motors. Building on new theoretical results from geometric mechanics applied to myriapods, we systematically tested gait patterns with different leg contacts and body undulation on various laboratory and natural environments including flat and uneven rigid ground, stairs, and unstructured natural terrain (leaf litter, grass). On flat ground, the robot with rigid components moved in the same way as the theoretically predicted gaits. As the complexity of the environment increased, the robot's performance suffered (and theoretical predictions became unavailable) due to deleterious interactions like jamming of limbs. However, adding flexibility into the robot's body parts (legs, body joints etc.) improved the open-loop locomotion performance (often to levels of that on flat ground) by either reducing the effects of environmental disturbances or increasing stability. Our findings show that in order to produce an agile, robust locomotive device, we need to understand the importance of body morphology and complex, dynamic interactions between an organism and its environment through systematic experiments in both the laboratory and natural environment.

Original languageEnglish (US)
Title of host publication2020 3rd IEEE International Conference on Soft Robotics, RoboSoft 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-163
Number of pages8
ISBN (Electronic)9781728165707
DOIs
StatePublished - May 2020
Event3rd IEEE International Conference on Soft Robotics, RoboSoft 2020 - New Haven, United States
Duration: May 15 2020Jul 15 2020

Publication series

Name2020 3rd IEEE International Conference on Soft Robotics, RoboSoft 2020

Conference

Conference3rd IEEE International Conference on Soft Robotics, RoboSoft 2020
Country/TerritoryUnited States
CityNew Haven
Period5/15/207/15/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization

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