Related Experiment Video
Updated: Feb 8, 2026

05:22
Author Spotlight: Demonstrating Systematic Endobronchial Ultrasound to New Endoscopists
Published on: August 11, 2023
2.8K
A Systematic Review of Multilateral Teleoperation Systems
IEEE Transactions on Haptics
|July 12, 2018
Summary
This review explores multilateral teleoperation, a system with three or more agents for remote tasks. It classifies architectures and control strategies, highlighting challenges like communication delays impacting stability.
Area of Science:
- Robotics and Control Systems
- Human-Computer Interaction
Background:
- Bilateral Single-Master/Single-Slave (SM/SS) teleoperation is well-established.
- Multilateral teleoperation, involving three or more agents, is an emerging research area.
- Existing research lacks a comprehensive classification of multilateral systems.
Purpose of the Study:
- To provide a systematic overview of multilateral teleoperation systems.
- To classify current architectures based on topology, applications, and stability analysis.
- To review control strategies and identify challenges in multilateral teleoperation.
Main Methods:
- Literature review and synthesis of existing research on multilateral teleoperation.
- Classification of architectures into categories based on network topology.
- Analysis of control strategies and stability issues in different frameworks.
Main Results:
- A taxonomy of multilateral teleoperation architectures is presented.
- Control strategies for various topologies and applications are discussed.
- Key challenges, including communication delays and closed-loop instability, are identified.
Conclusions:
- Multilateral teleoperation offers advanced capabilities beyond traditional SM/SS systems.
- Standardized classification and further research into robust control strategies are needed.
- Addressing communication network challenges is crucial for reliable multilateral teleoperation.
Related Concept Videos
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.5K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.5K
Random and Systematic Errors
15.1K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.1K
Systematic Sampling Method
13.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.3K
Propagation of Uncertainty from Systematic Error
1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Second Order systems II
411
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
411

