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

Observational Learning01:12

Observational Learning

1.5K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.5K

You might also read

Related Articles

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

Sort by
Same author

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same author

Correction: A decade of Cybathlon: impact on public visibility, scientific dissemination and technology transfer.

Journal of neuroengineering and rehabilitation·2026
Same author

Correction: ROS 4 healthcare: a framework for physiological human sensing for social, assistive, rehabilitation, and medical robotics.

Frontiers in robotics and AI·2026
Same author

Shopping in immersive virtual reality: Effects of visual, auditory, and cognitive demands on mental workload.

Applied ergonomics·2026
Same author

Interpretable Force Perturbations Promote Gait Variability Without Affecting Perceived Exoskeleton Transparency.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

ROS 4 healthcare: a framework for physiological human sensing for social, assistive, rehabilitation, and medical robotics.

Frontiers in robotics and AI·2026

Related Experiment Video

Updated: May 2, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.3K

Learning a locomotor task: with or without errors?

Laura Marchal-Crespo1, Jasmin Schneider, Lukas Jaeger

  • 1Sensory-Motor Systems Lab, Institute of Robotics and Intelligent Systems IRIS, ETH Zurich, Zurich, Switzerland. laura.marchal@hest.ethz.ch.

Journal of Neuroengineering and Rehabilitation
|March 6, 2014
PubMed
Summary

Robotic training that amplifies errors, rather than reducing them, enhances muscle activation and motor learning for simple tasks. Adding random disturbances also improves learning by increasing attention.

More Related Videos

Author Spotlight: Unveiling Neural Mechanisms Through Automated Evaluation of Motor Learning and Myelin Plasticity Studies Using the Erasmus Ladder
08:51

Author Spotlight: Unveiling Neural Mechanisms Through Automated Evaluation of Motor Learning and Myelin Plasticity Studies Using the Erasmus Ladder

Published on: December 15, 2023

2.2K
Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

9.9K

Related Experiment Videos

Last Updated: May 2, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.3K
Author Spotlight: Unveiling Neural Mechanisms Through Automated Evaluation of Motor Learning and Myelin Plasticity Studies Using the Erasmus Ladder
08:51

Author Spotlight: Unveiling Neural Mechanisms Through Automated Evaluation of Motor Learning and Myelin Plasticity Studies Using the Erasmus Ladder

Published on: December 15, 2023

2.2K
Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

9.9K

Area of Science:

  • Rehabilitation robotics
  • Motor learning science
  • Neurorehabilitation

Background:

  • Robotic haptic guidance is common for reducing errors in training.
  • Motor learning research highlights errors as crucial for adaptation.
  • Novel robotic strategies amplify errors to enhance learning.

Purpose of the Study:

  • Investigate robotic training strategies that amplify or reduce errors.
  • Analyze impact on muscle activation and motor learning of a simple locomotor task.
  • Determine the most effective strategy for learning simple movements.

Main Methods:

  • Twenty-two healthy subjects trained using the MAgnetic Resonance COmpatible Stepper (MARCOS) robotic device.
  • Four strategies evaluated: haptic guidance (error reduction), no guidance, error amplification, and noise disturbance.
  • Surface electromyography (EMG) measured lower limb muscle activation.

Main Results:

  • Error-reducing or non-amplifying strategies limited muscle activation and learning.
  • Random noise disturbance increased attention and improved motor learning.
  • Error amplification was most effective for less skilled subjects, aiding error detection and correction.

Conclusions:

  • Error-based robotic training strategies can enhance muscle activation and motor learning for simple tasks.
  • Neuroimaging can correlate brain activity with observed learning outcomes.
  • Further research is needed on these strategies for neurological patients.