Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Collisions in Multiple Dimensions: Introduction

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...

Collisions in Multiple Dimensions: Problem Solving

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...

Three-Dimensional Force System:Problem Solving

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...

Rolling Resistance: Problem Solving

Rolling Resistance: Problem Solving

Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...

Design Example: Measuring Distance Between Two Points with Obstructions

Design Example: Measuring Distance Between Two Points with Obstructions

When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...

Hydraulic Jump: Problem Solving

Hydraulic Jump: Problem Solving

To analyze a hydraulic jump in a rectangular channel with a flow speed of 6 meters per second, follow these steps:Calculate Effective Upstream Velocity:When the downstream gate closes, a hydraulic jump forms, traveling upstream at 2 meters per second. This wave speed combines with the initial channel flow velocity, creating an effective upstream velocity.Identify Flow Velocities Before and After the Hydraulic Jump:Upstream of the hydraulic jump, the effective flow velocity includes both the...

You might also read

Related Articles

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

Sort by

Same author

Introducing shrinkage in heavy-tailed state space models to predict equity excess returns.

Empirical economics·2025

Same author

Ageing Safely in the Digital Era: A New Unobtrusive Activity Monitoring Framework Leveraging on Daily Interactions with Hand-Operated Appliances.

Sensors (Basel, Switzerland)·2022

Same author

On the joint volatility dynamics in international dairy commodity markets.

The Australian journal of agricultural and resource economics·2021

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 6, 2026

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

A criterion for assessing obstacle-induced environmental complexity in multi-robot coverage exploration.

Khalil Al-Rahman Youssefi Darmian¹, Reza Abbaszadeh Darban^2,3, Gregor Kastner⁴

¹Institute of Networked and Embedded Systems, University of Klagenfurt, Klagenfurt am Wörthersee, Carinthia, Austria.

|May 16, 2025

Summary

This study introduces a new metric to quantify environmental complexity for multi-robot systems. The criterion provides a standardized measure for obstacle-induced challenges in autonomous exploration tasks.

More Related Videos

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

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

Published on: October 14, 2017

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Related Experiment Videos

Last Updated: Jul 6, 2026

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

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

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

Published on: October 14, 2017

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Area of Science:

Robotics
Artificial Intelligence
Environmental Science

Background:

Accurate environmental complexity assessment is crucial for multi-robot systems in applications like coverage exploration and search and rescue.
Quantifying obstacle-induced complexity for autonomous ground robots in multi-robot systems is a significant challenge.

Purpose of the Study:

To propose a novel criterion for numerically measuring obstacle-induced environmental complexity in autonomous multi-robot coverage exploration.
To develop a metric that is independent of robot hardware, algorithms, environment size, and obstacle coverage ratio.

Main Methods:

Development of a numerical criterion ranging from 0 (obstacle-free) to 1 (maximum complexity).
Ensuring the criterion's independence from robot-specific and environment-specific parameters.
Statistical analysis to validate the metric's performance in average and single-case comparisons.

Main Results:

A robust criterion for quantifying environmental complexity induced by obstacles has been established.
The metric allows for standardized comparisons across diverse environments and multi-robot systems.
Statistical validation confirms the metric's reliable performance.

Conclusions:

The proposed criterion offers a valuable tool for evaluating and adjusting algorithms in multi-robot coverage exploration.
This metric facilitates objective performance evaluation and enhances the adaptability of autonomous systems in complex environments.