Literature DB >> 33157883

A soft robot that navigates its environment through growth.

Elliot W Hawkes1,2, Laura H Blumenschein2, Joseph D Greer2, Allison M Okamura2.   

Abstract

Across kingdoms and length scales, certain cells and organisms navigate their environments not through locomotion but through growth. This pattern of movement is found in fungal hyphae, developing neurons, and trailing plants, and is characterized by extension from the tip of the body, length change of hundreds of percent, and active control of growth direction. This results in the abilities to move through tightly constrained environments and form useful three-dimensional structures from the body. We report a class of soft pneumatic robot that is capable of a basic form of this behavior, growing substantially in length from the tip while actively controlling direction using onboard sensing of environmental stimuli; further, the peak rate of lengthening is comparable to rates of animal and robot locomotion. This is enabled by two principles: Pressurization of an inverted thin-walled vessel allows rapid and substantial lengthening of the tip of the robot body, and controlled asymmetric lengthening of the tip allows directional control. Further, we demonstrate the abilities to lengthen through constrained environments by exploiting passive deformations and form three-dimensional structures by lengthening the body of the robot along a path. Our study helps lay the foundation for engineered systems that grow to navigate the environment.
Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2017        PMID: 33157883     DOI: 10.1126/scirobotics.aan3028

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  24 in total

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2.  Active entanglement enables stochastic, topological grasping.

Authors:  Kaitlyn Becker; Clark Teeple; Nicholas Charles; Yeonsu Jung; Daniel Baum; James C Weaver; L Mahadevan; Robert Wood
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Journal:  Front Robot AI       Date:  2022-06-16

Review 4.  Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence.

Authors:  Matthew Sims
Journal:  Front Neurorobot       Date:  2022-04-25       Impact factor: 3.493

5.  Synergizing microfluidics with soft robotics: A perspective on miniaturization and future directions.

Authors:  Run Ze Gao; Carolyn L Ren
Journal:  Biomicrofluidics       Date:  2021-02-03       Impact factor: 3.258

Review 6.  The Bio-Engineering Approach for Plant Investigations and Growing Robots. A Mini-Review.

Authors:  Barbara Mazzolai; Francesca Tramacere; Isabella Fiorello; Laura Margheri
Journal:  Front Robot AI       Date:  2020-09-24

7.  A General 3D Model for Growth Dynamics of Sensory-Growth Systems: From Plants to Robotics.

Authors:  Amir Porat; Fabio Tedone; Michele Palladino; Pierangelo Marcati; Yasmine Meroz
Journal:  Front Robot AI       Date:  2020-08-05

8.  Characterization of the Growing From the Tip as Robot Locomotion Strategy.

Authors:  Emanuela Del Dottore; Alessio Mondini; Ali Sadeghi; Barbara Mazzolai
Journal:  Front Robot AI       Date:  2019-06-20

9.  Mechanical Innovations of a Climbing Cactus: Functional Insights for a New Generation of Growing Robots.

Authors:  Patricia Soffiatti; Nick P Rowe
Journal:  Front Robot AI       Date:  2020-06-09

10.  Design and Experimental Study of Space Continuous Robots Applied to Space Non-Cooperative Target Capture.

Authors:  Yuwang Liu; Dongqi Wang; Yongchao Zhang; Zhongqiu Yuan; Jinguo Liu; Sheng Yang; Yi Yu
Journal:  Micromachines (Basel)       Date:  2021-05-09       Impact factor: 2.891

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