Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Morphogenesis02:19

Morphogenesis

Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Plastic Deformations01:19

Plastic Deformations

Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their original...
Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Transformation of Plane Strain01:12

Transformation of Plane Strain

When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...

You might also read

Related Articles

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

Sort by
Same authorSame journal

Do people feel safe in a robot's presence?

Science robotics·2026
Same author

Designing microrobots with embodied physical intelligence.

Science robotics·2026
Same author

Origami-inspired grasper for safe tissue manipulation.

Science robotics·2026
Same author

Grasshopper-inspired wing design improves gliding performance.

Science robotics·2026
Same author

Lightweight haptic ring delivers high force feedback.

Science robotics·2026
Same author

Learning robot behavior from human-human interactions.

Science robotics·2025
Same journal

DNA origami snaps into place.

Science robotics·2026
Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026
Same journal

Learning flight navigation like a honey bee.

Science robotics·2026
Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026
Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

Shape Memory Polymers for Active Cell Culture
10:53

Shape Memory Polymers for Active Cell Culture

Published on: July 4, 2011

Shape-morphing metamaterials with continuous relearning.

Melisa Yashinski1

  • 1Science Robotics, AAAS, Washington, DC 20005, USA.

Science Robotics
|May 20, 2026
PubMed
Summary
This summary is machine-generated.

A metamaterial chain demonstrates physical learning, adapting to new shapes and recalling previous configurations. This programmable matter can learn, forget, and relearn shape transformations.

More Related Videos

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

Fabricating Metamaterials Using the Fiber Drawing Method
11:57

Fabricating Metamaterials Using the Fiber Drawing Method

Published on: October 18, 2012

Related Experiment Videos

Last Updated: May 22, 2026

Shape Memory Polymers for Active Cell Culture
10:53

Shape Memory Polymers for Active Cell Culture

Published on: July 4, 2011

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

Fabricating Metamaterials Using the Fiber Drawing Method
11:57

Fabricating Metamaterials Using the Fiber Drawing Method

Published on: October 18, 2012

Area of Science:

  • Physics
  • Materials Science
  • Robotics

Background:

  • Metamaterials offer programmable physical properties.
  • Physical learning frameworks are emerging for adaptive materials.

Purpose of the Study:

  • To investigate a metamaterial chain's capacity for physical learning.
  • To demonstrate learning, forgetting, and relearning of shape changes.

Main Methods:

  • Fabrication of a chain of connected metamaterial units.
  • Implementation of a physical learning framework.
  • Testing with various shape deformation sequences.

Main Results:

  • The metamaterial chain successfully learned and executed specific shape changes.
  • The system demonstrated the ability to forget learned shapes.
  • Relearning of previously acquired shapes was achieved.

Conclusions:

  • Metamaterial chains can embody physical learning principles.
  • Programmable matter can adapt its physical form through learning.
  • This opens avenues for adaptive and reconfigurable materials.