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Using Discrete Event and Hybrid systems to represent task plans brings exciting new possibilities to include commitment and synchroniztion mechanisms between cooperating robots, and to develop plan qualititative (e.g., deadlocks, liveness) and quantitative (e.g., time taken by a plane, probability of success of a plan) analysis and synthesis procedures. Some work in this direction has been done - check the paper "Stochastic Discrete Event Model of a Multi-Robot Team Playing an Adversarial Game".
The work is being continued by further research on implementing Bob's method using Petri nets.