DocumentCode :
2459339
Title :
Collective robotics coherent behaviour for nanosystems with sensor-based neural motion
Author :
Cavalcanti, Adriano ; Freitas, Robert A., Jr.
Author_Institution :
Comput. Sci. Dept., Darmstadt Univ. of Technol., Germany
fYear :
2002
fDate :
2002
Firstpage :
213
Lastpage :
218
Abstract :
The authors present a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application in medicine using collective robotics. The problem under study concentrates its main focus on autonomous control for nanorobot team coordination as a suitable way to perform a large range of tasks and assembly manipulation in a complex environment. The authors summarize distinct aspects of some techniques required to achieve a successful nano-planning system design for a large number of cooperating autonomous agents and illustrates their three dimensional visualization in real time.
Keywords :
assembling; cooperative systems; data visualisation; medical robotics; multi-robot systems; neural nets; real-time systems; virtual reality; advanced graphics simulation; artificial neural networks; assembly manipulation; autonomous control; collective robotics; cooperating autonomous agents; medicine; multi-robot cooperation; nano-assembly automation; nano-planning system design; nanorobot team coordination; nanosystems; real time; sensor-based neural motion; three dimensional visualization; virtual reality; Automatic control; Autonomous agents; Graphics; Medical control systems; Medical robotics; Medical simulation; Robot kinematics; Robot sensing systems; Robotic assembly; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
Print_ISBN :
0-7695-1733-1
Type :
conf
DOI :
10.1109/ICAIS.2002.1048090
Filename :
1048090
Link To Document :
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