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3D printed soft actuators for a legged robot capable of navigating unstructured terrain

Drotman, Dylan, Jadhav, Saurabh, Karimi, Mahmood, de Zonia, Philip, Tolley, Michael T.·2017·2017 IEEE International Conference on Robotics and Automation (ICRA)

Abstract

Soft robots have recently demonstrated impressive abilities to adapt to objects and their environment with limited sensing and actuation. However, mobile soft robots are typically fabricated using laborious molding processes that result in limited actuated degrees of freedom and hence limited locomotion capabilities. In this paper, we present a 3D printed robot with bellowed soft legs capable of rotation about two axes. This allows our robot to navigate rough terrain that previously posed a significant challenge to soft robots. We present models and FEM simulations for the soft leg modules and predict the robot locomotion capabilities. We use finite element analysis to simulate the actuation characteristics of these modules. We then compared the analytical and computational results to experimental results with a tethered prototype. The experimental soft robot is capable of lifting its legs 5.3 cm off the ground and is able to walk at speeds up to 20 mm/s (0.13 bl/s). This work represents a practical approach to the design and fabrication of functional mobile soft robots.

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Metadata

Authors
Drotman, D., Jadhav, S., Karimi, M., de Zonia, P., & Tolley, M. T.
Venue
2017 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
IEEE
Published
2017-05
Pages
5532-5538
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2738259110
Cited by
175
References
4
FWCI
42.46
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: 3D printed soft actuators for a legged robot capable of navigating unstructured terrain. https://app.cochat.ai/papers/10.1109/icra.2017.7989652
The paper
Drotman, D., Jadhav, S., Karimi, M., de Zonia, P., & Tolley, M. T. (2017). 3D printed soft actuators for a legged robot capable of navigating unstructured terrain. 2017 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2017.7989652

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