Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Self-Regulation

Self-Regulation

Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...

Characteristics of Life

Characteristics of Life

Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The undulating tripod gait as a model of the locomotion of walking fish.

Nature communications·2026

Same author

A minimalistic walking fish robot twin based on the single actuator wave-like mechanism.

Bioinspiration & biomimetics·2025

Same author

Scalable mobile swarm network for reservoir computing using gaussian kernel density estimation.

Neural networks : the official journal of the International Neural Network Society·2025

Same author

Soft robotics: what's next in bioinspired design and applications of soft robots?

Bioinspiration & biomimetics·2025

Same author

Soft Shear Sensing of Robotic Twisting Tasks Using Reduced-Order Conductivity Modeling.

Sensors (Basel, Switzerland)·2025

Same author

Automated Benchmarking of Variable-Property Soft Robotic Fingertips to Enable Task-Optimized Sensor Selection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Search research articles

Related Experiment Video

Updated: Jul 10, 2026

Bioinspired Soft Robot with Incorporated Microelectrodes

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

Self-organization, embodiment, and biologically inspired robotics.

Rolf Pfeifer¹, Max Lungarella, Fumiya Iida

¹Department of Informatics, Artificial Intelligence Laboratory, University of Zurich, Zurich, Switzerland. pfeifer@ifi.uzh.ch

Science (New York, N.Y.)

|November 17, 2007

Summary

Biologically inspired robotics leverages concepts from nature to create more adaptable and robust autonomous machines. This approach aims to engineer robots capable of navigating real-world complexities, unlike traditional industrial robots.

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Related Experiment Videos

Last Updated: Jul 10, 2026

Bioinspired Soft Robot with Incorporated Microelectrodes

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Area of Science:

Robotics
Artificial Intelligence
Biomimetics

Background:

Biological organisms exhibit remarkable adaptability and robustness in dynamic environments.
Current industrial robots are designed for controlled settings with minimal uncertainty.
A gap exists between the capabilities of industrial robots and the demands of real-world applications.

Purpose of the Study:

To explore the integration of biological principles into autonomous robot design.
To identify key biological concepts beneficial for robotic systems.
To outline the potential of bio-inspired robotics for real-world applications.

Main Methods:

Review of biological systems and self-organization principles.
Analysis of limitations in current industrial robot design.
Conceptualization of bio-inspired design strategies.

Main Results:

Biological self-organization and evolutionary strategies offer valuable insights for robot design.
Bio-inspired approaches can enhance robot adaptivity, robustness, and versatility.
Bridging the gap between biological intelligence and artificial systems is crucial.

Conclusions:

Biologically inspired robotics holds significant promise for developing autonomous machines for complex, real-world environments.
Future robots can achieve greater agility and resilience by emulating biological organisms.
Continued research in bio-inspired robotics is essential for advancing autonomous systems.