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

Feedback control systems01:26

Feedback control systems

319
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
319
Open and closed-loop control systems01:17

Open and closed-loop control systems

768
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
768
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.8K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

110
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
110
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

494
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
494
Control Systems01:10

Control Systems

1.2K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.2K

You might also read

Related Articles

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

Sort by
Same author

The role of musical self-concept and embodiment in stress and flourishing among Chinese university music students.

Frontiers in psychology·2025
Same author

A self-isolated acid-tolerant Parachlorella kessleri with high efficiency in treating rare earth mining sewage.

Environmental pollution (Barking, Essex : 1987)·2024
Same author

Music Art Teaching Quality Evaluation System Based on Convolutional Neural Network.

Computational and mathematical methods in medicine·2022
Same author

Ankyrin repeat domain 1: A novel gene for cardiac septal defects.

The journal of gene medicine·2019
Same author

Role of the P2X7 receptor in inflammation-mediated changes in the osteogenesis of periodontal ligament stem cells.

Cell death & disease·2019
Same author

Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers.

Nature communications·2019
Same journal

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.

Frontiers in neurorobotics·2026
Same journal

ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.

Frontiers in neurorobotics·2026
Same journal

Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.

Frontiers in neurorobotics·2026
Same journal

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Frontiers in neurorobotics·2026
See all related articles

Related Experiment Video

Updated: Jul 12, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K

An adaptive control framework based multi-modal information-driven dance composition model for musical robots.

Fumei Xu1, Yu Xia2, Xiaorun Wu3

  • 1School of Music, Jiangxi Normal University, Nanchang, Jiangxi, China.

Frontiers in Neurorobotics
|October 25, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multimodal robot dance composition model. It enables mobile robots to generate dynamic dances adapting to music, overcoming limitations of pre-compiled routines.

Keywords:
CMACmultimodal informationrobot dancerobot simulationrobot trajectory

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.5K

Related Experiment Videos

Last Updated: Jul 12, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.5K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Current robot dance systems rely on pre-compiled routines, limiting adaptability to diverse music.
  • Manual parameter adjustments are time-consuming and reduce the functional scope of robot performances.

Purpose of the Study:

  • To develop an adaptive dance composition model for mobile robots using multimodal information.
  • To enable robots to generate dynamic and context-aware dance routines in real-time.

Main Methods:

  • Utilized a temporal structure feature method for music segmentation and a hierarchical emotion detection framework.
  • Integrated multimodal data including music rhythm, emotion, tension, environmental safety, and stage lighting.
  • Employed an adaptive control framework with Cerebellar Model Articulation Controller (CMAC) for trajectory tracking.

Main Results:

  • Successfully segmented music and extracted relevant emotional and structural features.
  • Initialized a dance library categorized by music emotion and composition type (skilled/general).
  • Generated robot dance paths by combining multimodal information and selected dance compositions.

Conclusions:

  • The proposed model offers a new paradigm for mobile and humanoid robot dance composition.
  • This approach enhances robot expressiveness and adaptability to various musical inputs.
  • It provides a foundation for more sophisticated human-robot interaction through synchronized movement.