Coordination languages and their significance
Communications of the ACM
Programmable self-assembly using biologically-inspired multiagent control
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Using Artificial Physics to Control Agents
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Botanical computing: a developmental approach to generating interconnect topologies on an amorphous computer
Discrete Bee Dance Algorithms for Pattern Formation on a Grid
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Programming Pervasive and Mobile Computing Applications with the TOTA Middleware
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Co-Fields: A Physically Inspired Approach to Motion Coordination
IEEE Pervasive Computing
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
Self-organization and multiagent systems: I. Models of multiagent self-organization
Journal of Computer and Systems Sciences International
Self-organization and multiagent systems: II. Applications and the development technology
Journal of Computer and Systems Sciences International
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We present a programming approach to let a multitude of simple mobile computational “particles” (i.e. sorts of tiny mobile robots) to self-organize 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.