Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
– Future robotic space missions will employ a precision soft-landing capability that will enable exploration of previously inaccessible sites that have strong scientific signific...
Andrew Edie Johnson, James F. Montgomery, Larry Ma...
— A new hybrid motion planning technique based on Harmonic Functions (HF) and Probabilistic Roadmaps (PRM) is presented. The proposed approach consists of incrementally building ...
— It is a commonly held belief that IPv6 provides greater security against random-scanning worms by virtue of a very sparse address space. We show that an intelligent worm can ex...
— Although packet-pair probing has been used as one of the primary mechanisms to measure bottleneck capacity, crosstraffic intensity, and available bandwidth of end-to-end Inter...
Xiliang Liu, Kaliappa Nadar Ravindran, Dmitri Logu...