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

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex. This...
Chemotaxis in E. coli01:27

Chemotaxis in E. coli

Chemotaxis in Escherichia coli is a sensory-driven motility mechanism that enables bacteria to navigate chemical gradients, moving toward beneficial environments while avoiding harmful conditions. This process relies on a signal transduction system integrating external chemical cues with flagellar motor control.Chemoreceptors and Signal DetectionE. coli detects chemical gradients through methyl-accepting chemotaxis proteins (MCPs), which are membrane-bound chemoreceptors that sense attractants...

You might also read

Related Articles

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

Sort by
Same author

Persistent Mapping of Sensor Data for Medium-Term Autonomy.

Sensors (Basel, Switzerland)·2022
Same author

Gene Expression Signature for Prediction of Golimumab Response in a Phase 2a Open-Label Trial of Patients With Ulcerative Colitis.

Gastroenterology·2018
Same author

A computational framework for complex disease stratification from multiple large-scale datasets.

BMC systems biology·2018
Same author

Prior knowledge transfer across transcriptional data sets and technologies using compositional statistics yields new mislabelled ovarian cell line.

Nucleic acids research·2016
Same author

PROKARYO: an illustrative and interactive computational model of the lactose operon in the bacterium Escherichia coli.

BMC bioinformatics·2015
Same author

Analytical Performance of a 15-Gene Prognostic Assay for Early-Stage Non-Small-Cell Lung Carcinoma Using RNA-Stabilized Tissue.

The Journal of molecular diagnostics : JMD·2015

Related Experiment Video

Updated: Jul 21, 2026

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

23.7K

Effective Exploration Behavior for Chemical-Sensing Robots.

Kevin Nickels1, Hoa Nguyen2, Duncan Frasch3

  • 1Department of Engineering Science, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA. knickels@trinity.edu.

Biomimetics (Basel, Switzerland)
|October 17, 2019
PubMed
Summary

Mobile robots using the RapidCell algorithm, inspired by E. coli bacteria, explore chemical environments more effectively. This approach enhances detection and avoids common issues faced by traditional chemotaxis methods.

Keywords:
E. coliRapidCellchemotaxise-puckexplorationnavigationobstaclephototaxisrobot

More Related Videos

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

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

Published on: December 19, 2016

15.1K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

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

Published on: August 27, 2021

5.9K

Related Experiment Videos

Last Updated: Jul 21, 2026

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

23.7K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

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

Published on: December 19, 2016

15.1K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

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

Published on: August 27, 2021

5.9K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Biomimicry
  • Chemical Sensing

Background:

  • Mobile robots can detect chemical effluents for applications like disaster relief and security.
  • Existing chemotaxis algorithms struggle with local maxima and getting lost.
  • Biological systems, like E. coli bacteria, exhibit efficient chemical sensing via chemotaxis.

Purpose of the Study:

  • Introduce the RapidCell algorithm for enhanced chemical detection by mobile robots.
  • Compare RapidCell's performance against classical chemotaxis controllers in simulated and real environments.
  • Evaluate the impact of obstacle avoidance on algorithm success.

Main Methods:

  • Implemented and tested a classical chemotaxis controller and a RapidCell controller.
  • Utilized phototaxis as a surrogate for chemotaxis in simulated and real-world experiments.
  • Incorporated simple obstacle avoidance behaviors into the robot's navigation.

Main Results:

  • The RapidCell controller demonstrated more comprehensive exploration of chemical regions compared to the classical controller.
  • RapidCell exhibited a wider random walk range in the absence of detectable chemicals, increasing discovery probability.
  • RapidCell successfully avoided being trapped by the first encountered chemical peak in multi-effluent simulations.

Conclusions:

  • Mimicking the adaptive sensory system of E. coli chemotaxis improves mobile robot exploration efficiency.
  • The RapidCell algorithm offers a more robust solution for chemical gradient sensing and environmental exploration.
  • This biomimetic approach enhances robot autonomy in complex chemical detection tasks.