Science Robotics· 2017Q1
A soft robot that navigates its environment through growth
- 937citations
- Q1SCImago
- 2017year
Short summary
Researchers developed a soft pneumatic robot that navigates environments by growing from its tip, mimicking biological strategies like fungal hyphae and neurons.
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Key points
- Developed a soft pneumatic robot that moves by growing from its tip.
- Achieves rapid, substantial lengthening via pressurization of an inverted thin-walled vessel.
- Directional control is enabled by asymmetric lengthening in response to environmental stimuli.
- Demonstrates navigation through constrained environments and formation of 3D structures.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Science Robotics, 2017 · DOI ↗
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Field: Condensed Matter Physics
Condensed Matter PhysicsPhysics and Astronomy