DocumentCode :
1635513
Title :
The force model: reducing the complexity by reformulating the problem
Author :
Salomon, Ralf
Author_Institution :
Artificial Intelligence Lab., Zurich Univ., Switzerland
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1498
Lastpage :
1503
Abstract :
Most experiments in research on autonomous agents and mobile robots are performed either in simulation or on robots with static physical properties; evolvable hardware is hardly ever used. One of the very rare exceptions is the eyebot on which Lichtensteiger and Eggenberger have evolved simplified insect eyes. Even though substantially improved, the evolutionary models currently applied still lack both scalability and noise-resistance. To tackle these problems, this paper proposes a biologically-inspired force model for this class of real-world applications. The simulation results clearly indicate that this model provides a significant improvement over existing limitations. Furthermore, this paper argues that the force model is of more general utility
Keywords :
biocomputing; computational complexity; evolutionary computation; mobile robots; software agents; autonomous agents; biologically-inspired force model; complexity; evolutionary models; eyebot; mobile robots; simulation; static physical properties; Artificial intelligence; Biological system modeling; Evolution (biology); Eyes; Hardware; Insects; Intelligent robots; Mobile robots; Robot sensing systems; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004464
Filename :
1004464
Link To Document :
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