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

Avoidance Learning and Learned Helplessness

Avoidance Learning and Learned Helplessness

Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...

You might also read

Related Articles

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

Sort by

Same author

Seamless biointerfaces in devices.

Nature materials·2026

Same author

Addressing phase instability and charge recombination in pyrolysis-synthesized BiVO<sub>4</sub> via DFT-guided Mo doping for enhanced performance.

National science review·2026

Same author

Comprehensive analysis of alternative splicing and transcriptome diversity in apple using long-read sequencing.

Frontiers in plant science·2026

Same author

Activity-driven engineering of Baeyer-Villiger monooxygenase from Thermobifida fusca for the synthesis of methyl (2S)-5-chloro-2-hydroxy-1-oxo-2,3-dihydro-1H-indene-2-carboylate: A key precursor of (S)-indoxacarb.

Journal of biotechnology·2026

Same author

Design features of interfaces and acceptance of ePHR among elderly individuals in China: Insights from an expanded UTAUT framework.

Digital health·2026

Same author

The Influence Pathway of the Burden on Caregivers of Children With Congenital Ear Malformations: An Analysis of the Mediating Effects of Social Support and Coping Mechanisms.

The Journal of craniofacial surgery·2026

Same journal

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026

Same journal

China boosts prestigious grants for young scientists - will it ease competition?

Nature·2026

Same journal

Incoming US science academy chief vows to 'double down' on research.

Nature·2026

Same journal

Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization.

Nature·2026

Same journal

Electrodeposited self-assembled molecules for perovskite photovoltaics.

Nature·2026

Same journal

Neutrino's nursery found: the 'Shadow Blaster'.

Nature·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 5, 2026

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

Experiment-free exoskeleton assistance via learning in simulation.

Shuzhen Luo^1,2, Menghan Jiang¹, Sainan Zhang¹

¹Lab of Biomechatronics and Intelligent Robotics, Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA.

|June 12, 2024

Summary

This summary is machine-generated.

This study introduces an experiment-free method using simulation to develop versatile exoskeleton control policies. This approach reduces metabolic cost for activities like walking and running, paving the way for wider assistive robot adoption.

More Related Videos

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

Related Experiment Videos

Last Updated: May 5, 2026

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

Area of Science:

Robotics
Biomechanics
Machine Learning

Background:

Exoskeletons can enhance human locomotion, but development is hindered by extensive human testing and manual control design.
Bridging the simulation-to-reality gap for robotic control is a significant challenge.

Purpose of the Study:

To develop an experiment-free method for learning versatile exoskeleton control policies in simulation.
To enable rapid development and widespread adoption of assistive robots.

Main Methods:

Utilized a learning-in-simulation framework with dynamics-aware musculoskeletal and exoskeleton models.
Employed data-driven reinforcement learning to train control policies without human experiments.
Deployed the learned controller on a custom hip exoskeleton.

Main Results:

Achieved significant metabolic rate reductions: 24.3% for walking, 13.1% for running, and 15.4% for stair climbing.
Demonstrated a versatile control policy adaptable to different activities.
Successfully bridged the simulation-to-reality gap.

Conclusions:

The proposed framework offers a generalizable and scalable strategy for developing assistive robots.
This method accelerates the creation of robotic solutions for both able-bodied and mobility-impaired individuals.
Eliminates the need for lengthy human trials in exoskeleton control development.