000099956 001__ 99956
000099956 005__ 20181114202044.0
000099956 02470 $$2ISI$$a000250915300064
000099956 0247_ $$2doi$$a10.1109/ROBOT.2007.363819
000099956 037__ $$aCONF
000099956 245__ $$aThe Cost of Reality: Effects of Real-World Factors on Multi-Robot Search
000099956 269__ $$a2007
000099956 260__ $$c2007
000099956 336__ $$aConference Papers
000099956 520__ $$aDesigning algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be time consuming, and individual robots may malfunction, invalidating experiments. These constraints make it very tempting to work using high-level abstractions of the robots and their environment. While these high-level models can be useful for initial design, it is important to verify techniques in more realistic scenarios that include real-world effects that may have been ignored in the abstractions. In this paper, we take a simple, coordinated, multi-robot search algorithm and illustrate problems that it encounters in environments which incorporate real-world factors, such as probabilistic target detection and positional noise. We compare the performance to that of several simple randomized approaches, which are better able to deal with these constraints.
000099956 700__ $$aPugh, Jim
000099956 700__ $$0241071$$aMartinoli, Alcherio$$g105782
000099956 7112_ $$aIEEE International Conference on Robotics and Automation$$cRome, Italy$$dApril 10-14, 2007
000099956 773__ $$q397-404$$tProceedings of the IEEE International Conference on Robotics and Automation
000099956 8560_ $$falain.borel@epfl.ch
000099956 8564_ $$uhttp://www.icra07.org/$$zURL
000099956 8564_ $$s230855$$uhttps://infoscience.epfl.ch/record/99956/files/JP_icra07.pdf$$yn/a$$zn/a
000099956 909C0 $$0252151$$pDISAL$$xU11904
000099956 909CO $$ooai:infoscience.tind.io:99956$$pconf$$pENAC$$qGLOBAL_SET
000099956 917Z8 $$x147372
000099956 937__ $$aSWIS-CONF-2007-004
000099956 973__ $$aEPFL$$rREVIEWED
000099956 980__ $$aCONF