Significance of the Compliance of the Joints on the Dynamic Slip Resistance of a Bioinspired Hoof
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Author(s)
Abad, Sara-Adela
Herzig, Nicolas
Sadati, SM Hadi
Nanayakkara, Dehigaspe Patabendige Thrishantha
Type
Journal Article
Abstract
Robust mechanisms for slip resistance are an open challenge in legged locomotion. Animals such as goats show impressive ability to resist slippage on cliffs. It is not fully known what attributes in their body determine this ability. Studying the slip resistance dynamics of the goat may offer insight towards the biologically-inspired design of robotic hooves. This paper tests how the embodiment of the hoof contributes to solving the problem of slip resistance. We ran numerical simulations and experiments using a passive robotic goat hoof for different compliance levels of its 3 joints. We established that compliant yaw and pitch and stiff roll can increase the energy required to slide the hoof by ≈ 20% compared to the baseline (stiff hoof). Compliant roll and pitch allow the robotic hoof to adapt to the irregularities of the terrain. This produces an Anti-Lock Braking System-like behavior of the robotic hoof for slip resistance. Therefore, the pastern and coffin joints have a substantial effect on the slip resistance of the robotic hoof while the fetlock joint has the lowest contribution. These shed insights into how robotic hooves can be used to autonomously improve slip resistance.
Date Issued
2019-12
Date Acceptance
2019-06-26
Citation
IEEE Transactions on Robotics, 2019, 35 (6), pp.1450-1463
ISSN
1552-3098
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1450
End Page
1463
Journal / Book Title
IEEE Transactions on Robotics
Volume
35
Issue
6
Copyright Statement
© The Authors 2019. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
License URL
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/R511547/1
EP/N03211X/2
Subjects
Industrial Engineering & Automation
0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2019-08-20