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

What is a Sensory System?

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.

Stereotype Content Model

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...

You might also read

Related Articles

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

Sort by

Same author

Filamentation-assisted isolated attosecond pulse generation.

Nature communications·2026

Same author

Postural Analysis in Ventral and Dorsal Decubitus Babies Using Deep Learning Techniques: A Protocol Study.

Journal of clinical medicine·2025

Same author

Circularly Polarized High-Harmonic Beams Carrying Self-Torque or Time-Dependent Orbital Angular Momentum.

ACS photonics·2024

Same author

Isolated attosecond pulse generation in a semi-infinite gas cell driven by time-gated phase matching.

Light, science & applications·2024

Same author

Robust Isolated Attosecond Pulse Generation with Self-Compressed Subcycle Drivers from Hollow Capillary Fibers.

ACS photonics·2024

Same author

Changes in Sensitization Patterns in the Last 25 Years in 619 Patients with Confirmed Diagnoses of Immediate Hypersensitivity Reactions to Beta-Lactams.

Biomedicines·2022

Search research articles

Related Experiment Video

Updated: Dec 24, 2025

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

Semantic Localization System for Robots at Large Indoor Environments Based on Environmental Stimuli.

Fco-Javier Serrano¹, Vidal Moreno¹, Belén Curto¹

¹Department of Computer Science and Automation, University of Salamanca, 37008 Salamanca, Spain.

Sensors (Basel, Switzerland)

|April 15, 2020

Summary

This study introduces Environmental Stimulus Localization (ESL), a new mobile robot localization method using environmental facts as stimuli. Dual particle filters enhance accuracy and recovery from errors in real-world indoor environments.

Keywords:

GIS maps indoor localization particle filters search and rescue 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

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Related Experiment Videos

Last Updated: Dec 24, 2025

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 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

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Area of Science:

Robotics
Artificial Intelligence
Geographic Information Systems

Background:

Accurate global localization is critical for mobile robot navigation.
Existing localization methods can be susceptible to measurement errors and localization failures.
Integrating environmental information can improve robot positioning robustness.

Purpose of the Study:

To present a novel global localization procedure for mobile robots named Environmental Stimulus Localization (ESL).
To leverage environmental facts as stimuli to enhance robot localization accuracy and reliability.
To demonstrate the effectiveness of ESL in a large-scale real indoor environment.

Main Methods:

Development of the Environmental Stimulus Localization (ESL) procedure.
Utilization of two concurrent particle filters: one for position tracking and another triggered by environmental stimuli.
Integration of Geographical Information System (GIS) map data, robot odometry, and environmental perception algorithms.

Main Results:

Successful implementation of ESL in a 5000 m² real indoor environment.
Demonstrated robustness against measurement errors through the dual particle filter system.
Showcased earlier recovery from localization failures compared to traditional methods.

Conclusions:

Environmental Stimulus Localization (ESL) offers a robust and effective solution for mobile robot global localization.
The proposed method significantly reduces the impact of measurement errors and improves failure recovery.
ESL integration with GIS data and environmental perception provides a practical approach for real-world applications.