000154839 001__ 154839
000154839 005__ 20190812205442.0
000154839 02470 $$2ISI
000154839 0247_ $$2doi$$a10.1109/IROS.2010.5649542
000154839 02470 $$a000287672004088
000154839 037__ $$aCONF
000154839 245__ $$aTowards Mixed Societies of Chickens and Robots
000154839 269__ $$a2010
000154839 260__ $$bIEEE Press$$c2010
000154839 336__ $$aConference Papers
000154839 490__ $$aIEEE International Conference on Intelligent Robots and Systems
000154839 520__ $$aTo design, to study, and to control mixed animals-robots societies is a challenging field of scientific exploration that can bring new frameworks to study individual and collective behaviors in animal and mixed robot-animal societies. In the Chicken Robot project we aim at developing a mobile robot, able to collaborate with a group of chicks and to control certain group behaviors. The first research step is to build formal models of relevant animal behaviors by performing ethological experiments. Hence, one of the principal tasks is to design a setup equipped with appropriate monitoring tools. In this paper, we present a toolset for running chick-robot experiments and analyzing results. It includes an autonomous PoulBot robot and an experimental setup, able to autonomously record experimental video and audio data, to detect displacements of chicks and robots, to detect their calling activity and to provide robots with these data. We also present a visual data analysis system to extract behavioral features of individual chicks using the variational Bayesian Gaussian mixture model classification with a particle filters based prediction of future positions of chicks. We show how these tools are currently used to carry out chick-robot experiments, to collect behavioral data and to extract animal behavioral features that allow us to build behavioral models bound to be implemented in the robot.
000154839 6531_ $$aanimal-robot interaction
000154839 6531_ $$amobile robotics
000154839 6531_ $$avisual tracking
000154839 6531_ $$a[MOBOTS]
000154839 6531_ $$apoulbot
000154839 6531_ $$aleurre2
000154839 6531_ $$aleurre
000154839 700__ $$0242141$$g173136$$aGribovskiy, Alexey
000154839 700__ $$aHalloy, José Ignacio
000154839 700__ $$aDeneubourg, Jean-Louis
000154839 700__ $$0240027$$g104561$$aBleuler, Hannes
000154839 700__ $$aMondada, Francesco$$g102717$$0240589
000154839 7112_ $$dOctober 18-22, 2010$$cTaipei, Taiwan$$aThe IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems (IROS 2010)
000154839 773__ $$tProceedings of the IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems (IROS 2010)$$q4722-4728
000154839 909C0 $$pLSRO$$0252016
000154839 909CO $$ooai:infoscience.tind.io:154839$$pconf$$pSTI
000154839 917Z8 $$x173136
000154839 917Z8 $$x173136
000154839 917Z8 $$x102717
000154839 917Z8 $$x173136
000154839 937__ $$aEPFL-CONF-154839
000154839 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000154839 980__ $$aCONF