Research & Development World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • 2025 R&D 100 Award Winners
    • 2025 Professional Award Winners
    • 2025 Special Recognition Winners
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
  • Resources
    • Research Reports
    • Digital Issues
    • Educational Assets
    • R&D Index
    • Subscribe
    • Video
    • Webinars
    • Content submission guidelines for R&D World
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE

Biobots: Cyborg Swarms Map Unknown Environs

By R&D Editors | October 16, 2013

Researchers have developed software that allows them to map unknown environments -- such as collapsed buildings -- based on the movement of a swarm of insect cyborgs, or "biobots." Courtesy of Edgar LobatonResearchers from North Carolina State University have developed software that allows them to map unknown environments — such as collapsed buildings — based on the movement of a swarm of insect cyborgs, or “biobots.”

“We focused on how to map areas where you have little or no precise information on where each biobot is, such as a collapsed building where you can’t use GPS technology,” says Dr. Edgar Lobaton, an assistant professor of electrical and computer engineering at NC State and senior author of a paper on the research.

“One characteristic of biobots is that their movement can be somewhat random,” Lobaton says. “We’re exploiting that random movement to work in our favor.”

Here’s how the process would work in the field. A swarm of biobots, such as remotely controlled cockroaches, would be equipped with electronic sensors and released into a collapsed building or other hard-to-reach area. The biobots would initially be allowed to move about randomly. Because the biobots couldn’t be tracked by GPS, their precise locations would be unknown. However, the sensors would signal researchers via radio waves whenever biobots got close to each other.

Once the swarm has had a chance to spread out, the researchers would send a signal commanding the biobots to keep moving until they find a wall or other unbroken surface – and then continue moving along the wall. This is called “wall following.”

The researchers repeat this cycle of random movement and “wall following” several times, continually collecting data from the sensors whenever the biobots are near each other. The new software then uses an algorithm to translate the biobot sensor data into a rough map of the unknown environment.

“This would give first responders a good idea of the layout in a previously unmapped area,” Lobaton says.

The software would also allow public safety officials to determine the location of radioactive or chemical threats, if the biobots have been equipped with the relevant sensors.

The researchers have tested the software using computer simulations and are currently testing the program with robots. They plan to work with fellow NC State researcher Dr. Alper Bozkurt to test the program with biobots.

Related Articles Read More >

Lab automation is “vaporizing”: Why the hottest innovation is invisible
Google on how AI will extend researchers
Kythera Labs’ Wayfinder remasters incomplete medical data for AI analysis
Adviser Labs raises $1M to simplify cloud HPC for in AI and scientific computing
rd newsletter
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, trends, and strategies in Research & Development.
RD 25 Power Index

R&D World Digital Issues

Fall 2024 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R&D magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Sign up for R&D World’s newsletter
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • Global Funding Forecast

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • 2025 R&D 100 Award Winners
    • 2025 Professional Award Winners
    • 2025 Special Recognition Winners
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
  • Resources
    • Research Reports
    • Digital Issues
    • Educational Assets
    • R&D Index
    • Subscribe
    • Video
    • Webinars
    • Content submission guidelines for R&D World
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE