Kilorobot Search and Rescue Using an Immunologically Inspired Approach. Singh, S. P. N. & Thayer, S. In Distributed Autonomous Robotic Systems (DARS), volume 5, pages 300-305, 2002. abstract bibtex This paper presents a new concept and simulated results for the distributed coordination of autonomous robot teams via the Immunology-derived Distributed Autonomous Robotics Architecture (IDARA) to perform select search and rescue (SAR) operations autonomously. Primarily designed for the coordination and control of �kilorobot� colonies, this architecture incorporates the immune system�s stochastic learning and reaction mechanisms to yield astute and adaptive responses to dynamic environmental conditions. This allows the architecture to vary actions from reactive to deliberative to result in a guided, yet stochastic, method that is ideal for dynamic operations such as terrain searching. IDARA was evaluated in a variety of SAR problem domains via computer simulations. These tests show that the IDARA framework is robust to noise and does not degrade when coordinating large colonies of robots consisting of up to 1,500 robots. By providing new levels of scalability in noisy environments, IDARA enables the full potential of micro-scale robotic for intelligent exploration, mapping, and SAR operations in a manner not afforded by traditional methods.
@INPROCEEDINGS{dars2002,
author = {S. P. N. Singh and S. Thayer},
title = {{Kilorobot Search and Rescue Using an Immunologically Inspired Approach}},
booktitle = {{Distributed Autonomous Robotic Systems ({DARS})}},
year = {2002},
volume = {5},
pages = {300-305},
abstract = {{This paper presents a new concept and simulated results for the distributed
coordination of autonomous robot teams via the Immunology-derived
Distributed
Autonomous Robotics Architecture (IDARA) to perform select search
and rescue (SAR) operations autonomously. Primarily designed for the
coordination
and control of �kilorobot� colonies, this architecture incorporates
the immune
system�s stochastic learning and reaction mechanisms to yield astute
and adaptive
responses to dynamic environmental conditions. This allows the architecture
to
vary actions from reactive to deliberative to result in a guided,
yet stochastic,
method that is ideal for dynamic operations such as terrain searching.
IDARA
was evaluated in a variety of SAR problem domains via computer simulations.
These tests show that the IDARA framework is robust to noise and does
not degrade
when coordinating large colonies of robots consisting of up to 1,500
robots.
By providing new levels of scalability in noisy environments, IDARA
enables the
full potential of micro-scale robotic for intelligent exploration,
mapping, and SAR
operations in a manner not afforded by traditional methods.}},
owner = {SPNSPUB}
}
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Thayer},\r\n title = {{Kilorobot Search and Rescue Using an Immunologically Inspired Approach}},\r\n booktitle = {{Distributed Autonomous Robotic Systems ({DARS})}},\r\n year = {2002},\r\n volume = {5},\r\n pages = {300-305},\r\n abstract = {{This paper presents a new concept and simulated results for the distributed\r\n\t\r\n\tcoordination of autonomous robot teams via the Immunology-derived\r\n\tDistributed\r\n\t\r\n\tAutonomous Robotics Architecture (IDARA) to perform select search\r\n\t\r\n\tand rescue (SAR) operations autonomously. Primarily designed for the\r\n\tcoordination\r\n\t\r\n\tand control of �kilorobot� colonies, this architecture incorporates\r\n\tthe immune\r\n\t\r\n\tsystem�s stochastic learning and reaction mechanisms to yield astute\r\n\tand adaptive\r\n\t\r\n\tresponses to dynamic environmental conditions. 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