Issue 43, 2022

Motorized, untethered soft robots via 3D printed auxetics

Abstract

Untethered operation remains a fundamental challenge in soft robotics. Soft robotic actuators are generally unable to produce the forces required for carrying essential power and control hardware on-board. Moreover, current untethered soft robots often have low operating times given soft actuators' limited efficiency and lifetime. Here, we 3D print cylindrical handed shearing auxetics (HSAs) from single-cure polyurethane resins for use as scalable, motorized soft robotic actuators for untethered machines. Mechanical characterization of individual HSAs confirms their auxetic behaviors and suitability as actuators. HSA pairs of opposite handedness are assembled to form multi-degree-of-freedom legs for untethered quadrupeds. We explore several leg designs to understand the role of length and auxetic pattern density on overall motion and blocked force generated. Finally, we demonstrate untethered locomotion with two soft robotic quadrupeds. We find that our taller soft robot is capable of walking at 2 body lengths per min (BL min−1) for 65 min, all while carrying a payload of at least 1.5 kg. We compare our soft robots' capabilities to those of previously reported untethered, terrestrial systems and find that our motorized HSAs lead to the second highest operating time with an above average velocity. We anticipate that these methods will open new avenues for designing untethered soft robots with the robustness, operating times, and payload capacities required for future fundamental investigations in embodied intelligence and adaptive, physical learning.

Graphical abstract: Motorized, untethered soft robots via 3D printed auxetics

Supplementary files

Article information

Article type
Paper
Submitted
12 jún. 2022
Accepted
28 ágú. 2022
First published
29 ágú. 2022

Soft Matter, 2022,18, 8229-8237

Author version available

Motorized, untethered soft robots via 3D printed auxetics

P. Kaarthik, F. L. Sanchez, J. Avtges and R. L. Truby, Soft Matter, 2022, 18, 8229 DOI: 10.1039/D2SM00779G

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