DocumentCode :
3439489
Title :
Hybrid system of mechanical parts and living organisms for microrobots
Author :
Shimoyama, Isao
Author_Institution :
Dept. of Mechano-Inf., Tokyo Univ., Japan
fYear :
1995
fDate :
4-6 Oct 1995
Firstpage :
55
Abstract :
Summary form only given. Fundamental attempts to make hybrid robots, in which some artificial sensors and actuators are replaced with natural antennas and muscles, are discussed. First, it is shown that signals from an antenna are easily obtained with electrodes connected to both ends of the antenna. In our experiment, antennas of silkworm moth (Bombyx mori) are used as sensors which can detect a few molecules of pheromone. As for actuators, electrical stimulation can generate the desired smooth movement of muscles. Finally, intelligence of microrobots is considered. Currently, it is impossible to use a real nervous system for hybrid robots because a nervous system cannot be taken out from the body without damage. In addition, a nervous system cannot be connected with artificial sensors and actuators. Instead, recurrent artificial neural networks are applied. The connections of the neural networks are obtained by genetic algorithms. As a result, a mobile robot with antennas follows a stream of pheromone
Keywords :
genetic algorithms; intelligent actuators; intelligent control; intelligent sensors; microactuators; microsensors; mobile robots; muscle; recurrent neural nets; electrical stimulation; genetic algorithms; hybrid robots; living organisms; mechanical parts; microrobots; mobile robot with antennas; natural antennas; natural muscles; pheromone detection; recurrent artificial neural networks; silkworm moth; Actuators; Artificial neural networks; Electrical stimulation; Electrodes; Intelligent sensors; Mechanical sensors; Muscles; Nervous system; Organisms; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Micro Machine and Human Science, 1995. MHS '95., Proceedings of the Sixth International Symposium on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2676-8
Type :
conf
DOI :
10.1109/MHS.1995.494218
Filename :
494218
Link To Document :
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