We present a programming approach to let a multitude of simple mobile computational particles (i.e. sorts of tiny mobile robots) to selforganize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA (Tuples On The Air) middleware can be effectively exploited to enable self-organization of spatial shapes in mobile particles with minimal capabilities. The key idea in TOTA is to rely on spatially distributed tuples, spread across the network, to drive particles' movements and activities. Several experiments are reported showing the effectiveness of the approach.
We present a programming approach to let a multitude of simple mobile computational "particles" (i.e. sorts of tiny mobile robots) to selforganize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA ("Tuples On The Air") middleware can be effectively exploited to enable self-organization of spatial shapes in mobile particles with minimal capabilities. The key idea in TOTA is to rely on spatially distributed tuples, spread across the network, to drive particles' movements and activities. Several experiments are reported showing the effectiveness of the approach.
Self-organizing spatial shapes in mobile particles: The TOTA approach / Mamei, Marco; Vasirani, M; Zambonelli, Franco. - STAMPA. - 3464:(2005), pp. 138-153. ( International Workshop on Engineering Self-Organising Applications (ESOA 2004) New York, NY JUL, 2004) [10.1007/11494676_9].
Self-organizing spatial shapes in mobile particles: The TOTA approach
MAMEI, Marco;ZAMBONELLI, Franco
2005
Abstract
We present a programming approach to let a multitude of simple mobile computational "particles" (i.e. sorts of tiny mobile robots) to selforganize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA ("Tuples On The Air") middleware can be effectively exploited to enable self-organization of spatial shapes in mobile particles with minimal capabilities. The key idea in TOTA is to rely on spatially distributed tuples, spread across the network, to drive particles' movements and activities. Several experiments are reported showing the effectiveness of the approach.
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