DocumentCode :
2910718
Title :
Insect navigation and communication in flight and migration: A potential model for joining and collision avoidance in MAVs and mobile robots fleet control
Author :
Ma, Zhanshan ; Krings, Axel W. ; Millar, Richard ; Wang, Feng ; Chao, Jun
Author_Institution :
PRC & Comput. Sci. Dept. & iBEST, Univ. of Idaho, Moscow, ID, USA
fYear :
2011
fDate :
5-12 March 2011
Firstpage :
1
Lastpage :
14
Abstract :
The human being should be awarded the championship of navigation on the planet, on the virtues that they not only have invented and manufactured the compass, GPS, aircraft, vessel, spacecraft, but also have demonstrated exceptional non-instrumental navigation skills. The Austronesian expansion from the Asian mainland into the Pacific performed by the Pacific navigators, who eventually populated the most remote islands of the Pacific about 4000 years ago, is a vivid example (Wehner 1998). However, animals, especially flying birds and insects are strong contenders. Monarch butterflies can migrate up to 2000 miles from their reproductive sites in the eastern US and Canada to their over-wintering sites in the forests of Mexico, and it is postulated that they may possess a biological equivalent of a low-resolution GPS system that is based on the magnetic field of the earth. In fact, even the long-legged ants (Cataglyphis fortis) in the Saharan desert use the dead-reckoning navigation strategy, which is attributed to the Polynesians, but the ants apparently have acquired the capability much earlier, given the relative short evolutionary history of humans. In this article, we briefly review the state-of-the-art research on insect navigation and communication used in flight and communication, with the objective to inspire cross-disciplinary studies in aerospace engineering, biology and computer science. After a brief review, we overview and identify seven cross-disciplinary research topics that may draw on inspirations from insect navigation and communication in flight and migration. These topics include: ants colony inspired swarm intelligence, honeybee inspired group decision-making, insect sociobiology, MAV/mobile robot flight control and remote control of insect flights, optimal migration strategy, Quorum sensing, and joining and collision avoidance for MAV fleet control. An interesting question one may pose is: given the rich and advanced navigation and communication t- - echnologies humans have already invented, such as satellite-based GPS, the Internet, and cellular wireless communication, why do we still expect to possibly learn from insects? A simple answer is that the distributed and self-organized nature of insect navigation and communication systems makes it simple but very robust due to their highly adaptive nature. For example, without satellites, the GPS system will break down, but the biological GPS of monarch butterfly can operate in natural conditions without even using a battery.
Keywords :
Global Positioning System; aerospace control; collision avoidance; decision making; magnetic fields; mobile robots; multi-robot systems; optimisation; telecontrol; Asian mainland; Austronesian expansion; Internet; MAV fleet control; Mexican forest; Monarch butterfly; Pacific navigator; Polynesian; Quorum sensing; Saharan desert; aerospace engineering; ants colony inspired swarm intelligence; biological study; cellular wireless communication; collision avoidance; computer science; dead reckoning navigation strategy; earth magnetic field; flight communication; honeybee inspired group decision making; insect navigation; insect sociobiology; long legged ant; low resolution GPS system; mobile robot fleet control; noninstrumental navigation skill; optimal migration strategy; satellite based GPS; Birds; Insects; Navigation; Sun; Visualization; Insect navigation; insect communication; insect flight and migration; joining and collision avoidance; micro-aerial vehicle (MAV); quorum sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2011 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-7350-2
Type :
conf
DOI :
10.1109/AERO.2011.5747513
Filename :
5747513
Link To Document :
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