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Addition of a Peristaltic Wave Improves Multi-Legged Locomotion Performance on Complex Terrains

  • Massimiliano Iaschi
  • , Baxi Chong
  • , Tianyu Wang
  • , Jianfeng Lin
  • , Juntao He
  • , Daniel Soto
  • , Zhaochen Xu
  • , Daniel I. Goldman

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

Abstract

Characterized by their elongate bodies and relatively simple legs, multi-legged robots have the potential to locomote through complex terrains for applications such as search-and-rescue and terrain inspection. Prior work has developed effective and reliable locomotion strategies for multilegged robots by propagating the two waves of lateral body undulation and leg stepping, which we will refer to as the twowave template. However, these robots have limited capability to climb over obstacles with sizes comparable to their heights. We hypothesize that such limitations stem from the twowave template that we used to prescribe the multi-legged locomotion. Seeking effective alternative waves for obstacleclimbing, we designed a five-segment robot with static (nonactuated) legs, where each cable-driven joint has a rotational degree-of-freedom (DoF) in the sagittal plane (vertical wave) and a linear DoF (peristaltic wave). We tested robot locomotion performance on a flat terrain and a rugose terrain. While the benefit of peristalsis on flat-ground locomotion is marginal, the inclusion of a peristaltic wave substantially improves the locomotion performance in rugose terrains: it not only enables obstacle-climbing capabilities with obstacles having a similar height as the robot, but it also significantly improves the traversing capabilities of the robot in such terrains. Our results demonstrate an alternative actuation mechanism for multilegged robots, paving the way towards all-terrain multi-legged robots.

Original languageEnglish (US)
Title of host publication2025 IEEE International Conference on Robotics and Automation, ICRA 2025
EditorsChristian Ott, Henny Admoni, Sven Behnke, Stjepan Bogdan, Aude Bolopion, Youngjin Choi, Fanny Ficuciello, Nicholas Gans, Clement Gosselin, Kensuke Harada, Erdal Kayacan, H. Jin Kim, Stefan Leutenegger, Zhe Liu, Perla Maiolino, Lino Marques, Takamitsu Matsubara, Anastasia Mavromatti, Mark Minor, Jason O'Kane, Hae Won Park, Hae-Won Park, Ioannis Rekleitis, Federico Renda, Elisa Ricci, Laurel D. Riek, Lorenzo Sabattini, Shaojie Shen, Yu Sun, Pierre-Brice Wieber, Katsu Yamane, Jingjin Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2925-2931
Number of pages7
ISBN (Electronic)9798331541392
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Robotics and Automation, ICRA 2025 - Atlanta, United States
Duration: May 19 2025May 23 2025

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Country/TerritoryUnited States
CityAtlanta
Period5/19/255/23/25

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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