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

Absolute Motion Analysis- General Plane Motion

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...

You might also read

Related Articles

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

Sort by

Same author

A Performance Benchmarking Review of Transformers for Speaker-Independent Speech Emotion Recognition.

International journal of neural systems·2025

Same author

A Hybrid Time-Distributed Deep Neural Architecture for Speech Emotion Recognition.

International journal of neural systems·2022

Same author

Behavioral Activity Recognition Based on Gaze Ethograms.

International journal of neural systems·2020

Same author

Computational Intelligence in Remote Sensing: An Editorial.

Sensors (Basel, Switzerland)·2020

Same author

Higher use of techniques studied and performance in melee combat produce a higher psychophysiological stress response.

Stress and health : journal of the International Society for the Investigation of Stress·2018

Same author

A Collaborative Approach for Surface Inspection Using Aerial Robots and Computer Vision.

Sensors (Basel, Switzerland)·2018

Search research articles

Related Experiment Video

Updated: Feb 23, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Navigation and Self-Semantic Location of Drones in Indoor Environments by Combining the Visual Bug Algorithm and

Darío Maravall¹, Javier de Lope¹, Juan P Fuentes¹

¹Department of Artificial Intelligence, Faculty of Computer Science, Universidad Politécnica de MadridMadrid, Spain.

Frontiers in Neurorobotics

|September 14, 2017

Summary

This summary is machine-generated.

This study presents a hybrid algorithm for robot navigation using entropy-based vision and visual topological maps. This approach enables robots to autonomously locate themselves and navigate indoor environments, detecting landmarks and avoiding obstacles effectively.

Keywords:

entropy search internal models unmanned aerial vehicles visual bug algorithm visual topological maps

More Related Videos

Visually Mediated Odor Tracking During Flight in Drosophila

Visually Mediated Odor Tracking During Flight in Drosophila

Published on: January 26, 2009

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

Related Experiment Videos

Last Updated: Feb 23, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Visually Mediated Odor Tracking During Flight in Drosophila

Visually Mediated Odor Tracking During Flight in Drosophila

Published on: January 26, 2009

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

Area of Science:

Robotics
Computer Vision
Artificial Intelligence

Background:

Autonomous navigation in indoor environments presents challenges for robots.
Visual topological maps offer a framework for robot guidance using landmarks.
Image entropy can quantify visual information, useful for object detection.

Purpose of the Study:

To develop a hybrid algorithm for robot self-localization and autonomous navigation.
To utilize entropy-based vision for landmark detection and obstacle avoidance.
To validate the proposed algorithm in indoor navigation tasks using an Unmanned Aerial Vehicle (UAV).

Main Methods:

A hybrid algorithm combining entropy-based vision and visual topological maps is introduced.
Image entropy is used to identify unique objects as landmarks or obstacles.
A visual topological map guides robot homing based on detected landmarks.
The visual bug algorithm is employed for validation with a UAV.

Main Results:

The algorithm successfully uses image entropy for both landmark detection and obstacle avoidance.
Visual topological maps guide the robot towards target points (homing).
The experimental framework validated the algorithm's effectiveness in indoor navigation tasks.

Conclusions:

The proposed hybrid algorithm enhances robot self-localization and autonomous navigation capabilities.
Entropy-based vision is a viable method for landmark identification and collision avoidance.
The approach shows promise for practical applications in indoor robot navigation.