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Showing 1 to 2 of 2 for “"Probabilistic Constraint Satisfaction"”.
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Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning
… We also introduce the CA-POMDP with action-based constraints on partially observable Markov decision processes, rewards driven by the value of information, and probabilistic constraint satisfaction through discrete optimization and Markov chain Monte Carlo analysis. IKD is adapted real-time …
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Robust sampling-based motion planning for autonomous vehicles in uncertain environments
… state and future evolution of environmental constraints. The vehicle may also face uncertainty in its own motion. To provide safe navigation under such conditions, motion planning algorithms must be able to rapidly generate smooth, certifiably robust trajectories in real-time. The primary …