Jove
Visualize
Contact Us

Related Concept Videos

Controller Configurations01:22

Controller Configurations

152
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
152

You might also read

Related Articles

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

Sort by
Same author

Recurrent episodes of pneumonia are associated with worse lung function in people with HIV.

PloS one·2026
Same author

Optimizing Cochlear Implant Care: A Time-Driven Activity-Based Costing (TDABC) Analysis of Audiologist and Otolaryngologist Workflow.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2026
Same author

Healthcare System Factors Affecting Preoperative Evaluation and Surgical Conversion in Adult Cochlear Implant Candidates.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2026
Same author

Predictors of Abnormal Diffusing Capacity for Carbon Monoxide in Post-pneumonia Ugandans With and Without HIV.

Journal of acquired immune deficiency syndromes (1999)·2025
Same author

The impact of social vulnerability in navigating cochlear implant care.

Cochlear implants international·2025
Same author

A Customizable Fitting Protocol for the Body-Machine Interface.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Exploring Synergy Between Tactile Perception and Arm Usage.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Multi-Modal Muscle Activation Modeling Using Koopman Operator Linearization for an Ankle Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Unsupervised Robot-Assisted Therapy at Home After Stroke: a Pilot Feasibility Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Optimizing Senior Living with Robots: A User Study on Social and Architectural Integration.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Effects of Exoskeletons on Error Between Marker and Markerless Motion Capture in Children With Crouch Gait: A Pilot Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Recovr Glove: Accessible Hand Exoskeleton for Stroke Rehabilitation and Everyday Aid.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
See all related articles
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 Experiment Video

Updated: Sep 16, 2025

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.3K

Curating User-Defined Interface Maps for Robot Teleoperation.

Demiana R Barsoum, Michelle H Zhang, Larisa Y C Loke

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |July 11, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces user-defined control maps for assistive robots, moving beyond fixed interfaces. Novel methods improve data quality for personalized robot control, enhancing user experience.

    More Related Videos

    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
    10:32

    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

    Published on: August 15, 2016

    15.6K
    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    853

    Related Experiment Videos

    Last Updated: Sep 16, 2025

    Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
    07:41

    Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

    Published on: January 7, 2019

    9.3K
    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
    10:32

    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

    Published on: August 15, 2016

    15.6K
    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    853

    Area of Science:

    • Robotics
    • Human-Computer Interaction
    • Assistive Technology

    Background:

    • Traditional assistive robot interfaces use fixed command maps, limiting personalization.
    • A one-size-fits-all approach does not cater to individual user preferences or capabilities.

    Purpose of the Study:

    • To develop novel methods for eliciting user-defined control maps for assistive robots.
    • To address data quality issues inherent in user-centered control map design.
    • To evaluate the efficacy of proposed methods in a user study.

    Main Methods:

    • Elicitation of user-defined control maps through a user study.
    • Identification and mitigation of control signal data issues.
    • Development of signal filtering and synthetic data generation techniques.

    Main Results:

    • Experimental evaluation using a powered wheelchair and robotic arm across four interfaces.
    • Demonstration of differing suitability of user-defined maps for various interface-platform combinations.
    • Analysis of errors in dataset creation and the impact of postprocessing.

    Conclusions:

    • User-defined, data-driven control maps offer a personalized alternative to fixed interfaces.
    • Proposed methods effectively address data quality challenges in user-centered assistive robot control.
    • Findings provide insights into optimizing user-defined control maps for diverse robotic platforms.