Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Busy Bees: Computer Vision System Automates Analysis of Bee Activity for Insight into Biologically Inspired Robot Design

11.12.2003


Georgia Tech researchers led by Tucker Balch from the College of Computing are gathering data on the behavior of bees and ants using a compter vision system. Software can recognize which marked bee is doing which job.

Georgia Tech Photo: Nicole Cappello


Georgia Tech researcher Tucker Balch examines bees whose behavior is being studied for potential implications on the efficient behavior of robots. What they learn may help engineers organize colonies of cooperating robots.

Georgia Tech Photo: Nicole Cappello


A new computer vision system for automated analysis of animal movement -- honey bee activities, in particular -- is expected to accelerate animal behavior research, which also has implications for biologically inspired design of robots and computers.

The animal movement analysis system is part of the BioTracking Project, an effort conducted by Georgia Institute of Technology robotics researchers led by Tucker Balch, an assistant professor of computing.

"We believe the language of behavior is common between robots and animals," Balch said. "That means, potentially, that we could videotape ants for a long period of time, learn their ’program’ and run it on a robot."



Social insects, such as ants and bees, represent the existence of successful large-scale, robust behavior forged from the interaction of many, simple individuals, Balch explained. Such behavior can offer ideas on how to organize a cooperating colony of robots capable of complex operations.

To expedite the understanding of such behavior, Balch’s team developed a computer vision system that automates analysis of animal movement -- once an arduous and time-consuming task. Researchers are using the system to analyze data on the sequential movements that encode information -- for example in bees, the location of distant food sources, Balch said. He will present the research at the Second International Workshop on the Mathematics and Algorithms of Social Insects on Dec. 16-17 at Georgia Tech.

With an 81.5 percent accuracy rate, the system can automatically analyze bee movements and label them based on examples provided by human experts. This level of labeling accuracy is high enough to allow researchers to build a subsequent system to accurately determine the behavior of a bee from its sequence of motions, Balch explained.

For example, one sequence of motions bees commonly perform are waggle dances consisting of arcing to the right, waggling (walking in a generally straight line while oscillating left and right), arcing to the left, waggling and so on. These motions encode the locations of distant food sources, according to Cornell University Professor of Biology Thomas Seeley, who has collaborated with Balch on this project. Balch is also working with Professor Deborah Gordon of Stanford University on related work with ants.

Balch’s animal movement analysis system has several components. First, researchers shoot 15 minutes of videotape of bees -- some of which are marked with a bright-colored paint and returned to an observation hive. Then computer vision-based tracking software converts the video of the marked bees into x- and y-coordinate location information for each animal in each frame of the footage. Some segments of this data are hand labeled by a researcher and then used as motion examples for the automated analysis system.

In future work, Balch and his colleagues will build a system that can learn executable models of these behaviors and then run the models in simulation. These simulations, Balch explained, would reveal the accuracy of the models. Researchers don’t yet know if these models will yield better computer programming algorithms, though they are hopeful based on what previous research has revealed.

"Computer scientists have borrowed some of the algorithms discovered by biologists working with insects to challenging problems in computing," Balch said. "One example is network routing, which dictates the path data takes across the Internet. In this case the insect-based network routing algorithm, investigated by Marco Dorigo, is the best solution to date."

But challenges lie ahead for researchers. They will have to grapple with differences between the motor and sensory capabilities of robots and insects, Balch added.

Balch’s research team members include graduate student Adam Feldman, Assistant Professor of Computing Frank Dellaert and researcher Zia Khan. More information about their project is available at borg.cc.gatech.edu/biotracking. The project is funded by a grant from the National Science Foundation.

In related research with Professor Kim Wallen at Emory University’s Yerkes National Primate Research Center, Balch and Khan are also observing monkeys with a similar computer vision system. They hope these studies will yield behavior models that can be implemented in computer code.

The research team is learning about the spatial memory of and social interaction among monkeys. Already, they can track the movements of individual monkeys as they search for and find hidden treats in a large enclosure. Later, they want to observe a troop of 60 to 80 monkeys living together in a larger compound.

So far, researchers have learned that male and female monkeys have different spatial memories. Males apparently remember the physical distance to food, while females follow landmarks to find treats, Balch says.

"We’re involved to measure precisely where the monkeys go and how long it takes them to find the food," Balch explains. "We use the information from experiments to test hypotheses on spatial memory. We’re more interested in the social systems among these animals. But we need this basic capability to track monkeys in 3D. So this work is a first step in this direction."

Ultimately, Balch and his colleagues in the Georgia Tech College of Computing’s "Borg Lab" -- named after the Borg of "Star Trek" fame -- want to use this animal behavior information to design robots that work effectively with people in dynamic, noisy and unknown environments such as those faced by military and law enforcement officials.

Balch will present his research team’s findings on the bee movement system at the December workshop to prominent biologists, mathematicians, engineers and computer scientists who gather to share ideas about mathematical and algorithmic models of social insect behavior. Balch organized the workshop with Carl Anderson, a visiting assistant professor of natural systems in the Georgia Tech School of Industrial and Systems Engineering. For more information on the workshop, see www.insects.gatech.edu.

Jane Sanders | Georgia Tech
Further information:
http://gtresearchnews.gatech.edu/newsrelease/bees.htm

More articles from Life Sciences:

nachricht Ambush in a petri dish
24.11.2017 | Friedrich-Schiller-Universität Jena

nachricht Meadows beat out shrubs when it comes to storing carbon
23.11.2017 | Norwegian University of Science and Technology

All articles from Life Sciences >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: New proton record: Researchers measure magnetic moment with greatest possible precision

High-precision measurement of the g-factor eleven times more precise than before / Results indicate a strong similarity between protons and antiprotons

The magnetic moment of an individual proton is inconceivably small, but can still be quantified. The basis for undertaking this measurement was laid over ten...

Im Focus: Frictional Heat Powers Hydrothermal Activity on Enceladus

Computer simulation shows how the icy moon heats water in a porous rock core

Heat from the friction of rocks caused by tidal forces could be the “engine” for the hydrothermal activity on Saturn's moon Enceladus. This presupposes that...

Im Focus: Nanoparticles help with malaria diagnosis – new rapid test in development

The WHO reports an estimated 429,000 malaria deaths each year. The disease mostly affects tropical and subtropical regions and in particular the African continent. The Fraunhofer Institute for Silicate Research ISC teamed up with the Fraunhofer Institute for Molecular Biology and Applied Ecology IME and the Institute of Tropical Medicine at the University of Tübingen for a new test method to detect malaria parasites in blood. The idea of the research project “NanoFRET” is to develop a highly sensitive and reliable rapid diagnostic test so that patient treatment can begin as early as possible.

Malaria is caused by parasites transmitted by mosquito bite. The most dangerous form of malaria is malaria tropica. Left untreated, it is fatal in most cases....

Im Focus: A “cosmic snake” reveals the structure of remote galaxies

The formation of stars in distant galaxies is still largely unexplored. For the first time, astron-omers at the University of Geneva have now been able to closely observe a star system six billion light-years away. In doing so, they are confirming earlier simulations made by the University of Zurich. One special effect is made possible by the multiple reflections of images that run through the cosmos like a snake.

Today, astronomers have a pretty accurate idea of how stars were formed in the recent cosmic past. But do these laws also apply to older galaxies? For around a...

Im Focus: Visual intelligence is not the same as IQ

Just because someone is smart and well-motivated doesn't mean he or she can learn the visual skills needed to excel at tasks like matching fingerprints, interpreting medical X-rays, keeping track of aircraft on radar displays or forensic face matching.

That is the implication of a new study which shows for the first time that there is a broad range of differences in people's visual ability and that these...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Ecology Across Borders: International conference brings together 1,500 ecologists

15.11.2017 | Event News

Road into laboratory: Users discuss biaxial fatigue-testing for car and truck wheel

15.11.2017 | Event News

#Berlin5GWeek: The right network for Industry 4.0

30.10.2017 | Event News

 
Latest News

IceCube experiment finds Earth can block high-energy particles from nuclear reactions

24.11.2017 | Physics and Astronomy

A 'half-hearted' solution to one-sided heart failure

24.11.2017 | Health and Medicine

Heidelberg Researchers Study Unique Underwater Stalactites

24.11.2017 | Earth Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>