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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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 of...

You might also read

Related Articles

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

Sort by
Same author

Artificial vibrotactile feedback elicits neural correlates of sense of agency.

Journal of neuroengineering and rehabilitation·2026
Same author

Music Familiarization Elicits Functional Connectivity Between Right Frontal/Temporal and Parietal Areas in the Theta and Alpha Bands.

Brain topography·2024
Same author

Upper limb intention tremor assessment: opportunities and challenges in wearable technology.

Journal of neuroengineering and rehabilitation·2024
Same author

Human-robot collaborative task planning using anticipatory brain responses.

PloS one·2023
Same author

Listening to familiar music induces continuous inhibition of alpha and low-beta power.

Journal of neurophysiology·2023
Same author

Printed Silk Microelectrode Arrays for Electrophysiological Recording and Controlled Drug Delivery.

Advanced healthcare materials·2023

Related Experiment Videos

Allocentric teleoperation for variable perspective multirobot coordination.

Constantin Uhde1, Nicolas Berberich1, Simon Armleder1

  • 1Technical University of Munich, Munich, Germany.

Science Robotics
|July 15, 2026
PubMed
Summary

This study introduces an allocentric (environment-centered) teleoperation framework for controlling multiple robots, enhancing task speed and usability compared to traditional egocentric (self-centered) control.

Related Experiment Videos

Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Human spatial processing involves egocentric and allocentric perspectives.
  • Current multi-robot teleoperation primarily uses egocentric control, limiting situational awareness.
  • A need exists for advanced teleoperation methods to manage complex collaborative robotic tasks.

Purpose of the Study:

  • To propose and evaluate a scalable allocentric teleoperation paradigm for simultaneous multi-robot control.
  • To compare the performance and user experience of allocentric versus egocentric multi-robot teleoperation.
  • To investigate the potential for allocentric control to improve situational overview and task efficiency.

Main Methods:

  • Developed a novel allocentric teleoperation framework fusing robot perceptions into a joint virtual environment.
  • Conducted simulation studies with 15 participants comparing egocentric and allocentric control.
  • Validated findings in a real-world study with 6 participants using two physical robots.

Main Results:

  • Allocentric control yielded significant speed increases (84% in locomotion, 50% in overview) compared to egocentric control.
  • Participants reported higher system usability and improved situational overview with allocentric control.
  • Egocentric control showed higher embodiment and precision after training, while agency was not significantly different.

Conclusions:

  • The proposed allocentric framework effectively enhances multi-robot teleoperation efficiency and usability.
  • Allocentric control complements egocentric control, offering distinct advantages for specific tasks.
  • Interfaces supporting seamless switching between allocentric and egocentric control are recommended for optimal operator performance.