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Related Experiment Video

Updated: Oct 3, 2025

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Enacting Plant-Inspired Robotics.

Jonny Lee¹, Paco Calvo¹

¹Minimal Intelligence Laboratory (MINTLab), University of Murcia, Murcia, Spain.

Frontiers in Neurorobotics

|February 17, 2022

Summary

This study explores plant intelligence for soft robotics, advocating an enactivist approach. This perspective highlights plant autonomy and self-organization for novel robot designs.

Area of Science:

Robotics
Bioinspiration
Artificial Intelligence

Background:

Soft robotics often draws inspiration from plants, but current designs lack the decentralized, modular, and plastic principles of plant intelligence.
Existing plant-inspired robots (growbots) often rely on external energy and materials, limiting their autonomy.

Purpose of the Study:

To propose a holistic approach to plant bioinspiration in soft robotics, integrating plant intelligence principles.
To highlight the value of an enactivist perspective for understanding and designing autonomous, self-organizing robots.

Main Methods:

Conceptual analysis of plant intelligence and behavior through an enactivist lens.
Comparison of enactivist autonomy with conventional notions of system operability.
Case study application to plant-inspired soft robotics and growbots.

Keywords:

autonomy embodied robotics enactivism growbots plant intelligence and behavior soft robotics

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Main Results:

An enactivist perspective emphasizes embodiment and a deeper sense of autonomy crucial for plant intelligence.
This contrasts with simpler definitions of autonomy focused on independent operation.
The study identifies limitations in current growbots due to their dependence on external resources.

Conclusions:

A holistic, enactivist approach to plant bioinspiration can lead to more autonomous and self-organizing soft robots.
Enactivism provides a framework for exploring non-zoological forms of intelligence in artificial systems.
This research encourages the development of robots that better emulate plant-like adaptability and self-sufficiency.