ArticleSoft robotics2020
Passive Morphological Adaptation for Obstacle Avoidance in a Self-Growing Robot Produced by Additive Manufacturing.
Article in Soft robotics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Vine-Inspired Soft Robotics: Materials, Actuations, and Emerging Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Accessing pluripotent drones through reprogramming of dynamic soft self-healing chemical growth.National science review · 2025Article
- Tip-Growing Robots: Design, Theory, Application.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025Article
- A Pneumatic Flexible Linear Actuator Inspired by Snake Swallowing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Review: Application of 3D Printing Technology in Soft Robots.3D printing and additive manufacturing · 2024Review
- Jointless Bioinspired Soft Robotics by Harnessing Micro and Macroporosity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Towards A Physics-based Model for Steerable Eversion Growing Robots.IEEE robotics and automation letters · 2023Article
- Bioinspired robots can foster nature conservation.Frontiers in robotics and AI · 2023Article
- Soft robotics towards sustainable development goals and climate actions.Frontiers in robotics and AI · 2023Article
- Editorial: Generation Growbots: Materials, Mechanisms, and Biomimetic Design for Growing Robots.Frontiers in robotics and AI · 2021Article
- The Bio-Engineering Approach for Plant Investigations and Growing Robots. A Mini-Review.Frontiers in robotics and AI · 2020Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article presents strategies for the passive path and morphological adaptation of a plant-inspired growing robot that can build its own body by an additive manufacturing process. By exploiting the soft state of the thermoplastic material used by the robot to build its structure, we analyzed the ability of the robot to change its direction of growth without the need for specific cognition and control processes. Obstacle avoidance is computed by the mechanics from the body-environment interaction. The robot can passively adapt its body to flat obstacles with an inclination of up to 50° with resulting reaction forces of up to ∼10 N. The robot also successfully performs penetration and body adaptation (with 30° obstacle inclination) in artificial soil and in a rough unstructured environment. This approach is founded on observing plant roots and how they move and passively adapt to obstacles in soil before they actively respond followed by cell division-based growth.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.