In this paper, we present a vision-based terrain mapping and analysis system, and a model predictive control (MPC)based flight control system, for autonomous landing of a helicop...
Todd Templeton, David Hyunchul Shim, Christopher G...
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
In traditional parallel co-simulation approaches, the simulation speed is heavily limited by time synchronization overhead between simulators and idle time caused by data dependen...