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Robot 'Honeybee'
meniru perilaku kerumunan
Ilmuwan komputer telah menciptakan biaya-rendah, mikro-robot yang dalam
jumlah besar yang dapat meniru perilaku
berkerumun lebah madu.
.................................
'Honeybee'
robots replicate swarm behavior
Date:
September 18, 2014
Source:
University of Lincoln
Summary:
Computer scientists
have created a low-cost, autonomous micro-robot which in large numbers can
replicate the behavior of swarming honeybees.
.................
computer scientists have
created a low-cost, autonomous micro-robot which in large numbers can replicate
the behaviour of swarming honeybees
Colias -- named after a genus of butterfly -- is an open-platform system
that can be used to investigate collective behaviours and be applied to swarm
applications.
Robotic swarms that take inspiration from nature have become a topic of
fascination for robotics researchers, whose aim is to study the autonomous
behaviour of large numbers of simple robots in order to find technological
solutions to common complex tasks.
Due to the hardware complexities and cost of creating robot hardware
platforms, current research in swarm robotics is mostly performed by simulation
software. However, the simulation of large numbers of these robots in robotic
swarm software applications is often inaccurate due to the poor modelling of
external conditions.
Colias was created by a team of scientists led by the University of Lincoln, UK,
with Tsinghua University in China. It has been proven to be feasible as an
autonomous platform -- effectively replicating a honeybee swarm. Its small size
(4cm diameter) and fast motion (35cm/s) means it can be used in fast-paced
swarm scenarios over large areas.
In comparison to other mobile robots which are utilized in swarm robotic
research,Colias is a low-cost platform, costing around £25, making
the replication of swarm behaviour in large numbers of robots more feasible and
economical for researchers.
Farshad Arvin, from the School of Computer Science, University of Lincoln,
was part of the research team which developed Colias.
He said: "The platform must be able to imitate swarm behaviours found
in nature, such as insects, birds and fish. Colias has been designed as a
complete platform with supporting software development tools for robotics
education and research. This concept allows for the coordination of simple
physical robots in order to cooperatively perform tasks. The decentralised
control of robotic swarms can be achieved by providing well-defined interaction
rules for each individual robot. Colias has been used in a bio-inspired
scenario, showing that it is extremely responsive to being used to investigate
collective behaviours. Our aim was to imitate the bio-inspired mechanisms of
swarm robots and to enable all research groups, even with limited funding, to
perform such research with real robots."
Long-range infrared proximity sensors allow the robot to communicate with
its direct neighbours at a range of 0.5cm to 2m. A combination of three
short-range sensors and an independent processor enables the individual robots
to detect obstacles.
A similar but more complex mechanism has been found in locust vision, where
a specific neuron called the 'lobula giant movement detector' reacts to objects
approaching the insects' eyes.
Co-author Professor Shigang Yue, also from Lincoln's School of Computer
Science, previously created a computerised system which supports the autonomous
navigation of mobile robots based on the locust's unique visual system.
This earlier research, published in the International Journal of
Advanced Mechatronic Systems (2013), could provide the blueprint for
the development of highly accurate vehicle collision sensors, surveillance
technology and even aid video game programming.
The next step for the Colias research team is to work on
an extension of the vision module using a faster computer processor to
implement bio-inspired vision mechanisms.
Full details of their research have been published in the International
Journal of Advanced Robotic Systems.
The work is supported by the European Union's FP7 project EYE2E, which aims
to build international capacity and cooperation in the field of biologically
inspired visual neural systems.
Story Source:
The above story is based on materials provided by University of Lincoln. Note: Materials may be edited
for content and length.
Journal Reference:
1. Farshad Arvin, John Murray, Chun Zhang,
Shigang Yue. Colias: An Autonomous Micro Robot for Swarm Robotic
Applications. International Journal of Advanced Robotic Systems,
2014; 1 DOI: 10.5772/58730
