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In this paper, we consider the problem of deploying a robot from a specification given as a temporal logic statement about some properties satisfied by the regions of a large, partitioned environment. We assume that the robot has noisy sensors and actuators and model its motion through the regions of the environment as a Markov Decision Process (MDP). The robot control problem becomes finding the...
Recently, probabilistic systems have been widely used. People have drawn attention to counterexample generation for probabilistic system model checking. Current works are mainly focusing on the counterexample generation for Markov chains. Probabilistic timed automata (PTA) is the extension of Markov chain with non-determinism and system clocks. This paper focuses on counterexample representation while...
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