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{\rtf1\ansi\ansicpg1252\cocoartf1404\cocoasubrtf470 {\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;} \margl1440\margr1440\vieww11940\viewh7800\viewkind0 \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \f0\fs24 \cf0 9/12/16\ \ Folder description:\ simulation: contain Matlab codes that simulate the single-agent search\ simulation/bin_approx_search: files for DSCC15 paper. Assume a binary sensor model and find approximation to the objective function.\ simulation/rrt_example, sampl_IPP: files for the idea of using sampling methods for IPP. terminated.\ simulation/KF_search: files for ACC 17 paper. Assume a linear sensor model. also assume a unimodal target distribution.\ \ experiment: \ mpc_julia: contain julia codes from MPC_Car_ROS folder. These codes are original and not modified by myself.\ paper: contain paper manuscripts}
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An information-driven path planning approach for target localization. Planning uses model predictive control.
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