?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Obstacle+Avoidance+and+Proscriptive+Bayesian+Programming&rft.creator=Koike%2C+C&rft.creator=Pradalier%2C+C&rft.creator=Bessiere%2C+P&rft.creator=Mazer%2C+E&rft.subject=Robotics&rft.description=Unexpected+events+and+not+modeled+properties+of+the+robot+environment+are+some+of%0Athe+challenges+presented+by+situated+robotics+research+field.+Collision+avoidance+is+a+basic+security%0Arequirement+and+this+paper+proposes+a+probabilistic+approach+called+Bayesian+Programming%2C+which%0Aaims+to+deal+with+the+uncertainty%2C+imprecision+and+incompleteness+of+the+information+handled+to%0Asolve+the+obstacle+avoidance+problem.+Some+examples+illustrate+the+process+of+embodying+the%0Aprogrammer+preliminary+knowledge+into+a+Bayesian+program+and+experimental+results+of+these%0Aexamples+implementation+in+an+electrical+vehicle+are+described+and+commented.+A+video+illustration%0Aof+the+developed+experiments+can+be+found+at+http%3A%2F%2Fwww.inrialpes.fr%2Fsharp%2Fpub%2Flaplace&rft.date=2003&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3756%2F1%2FKoike03.pdf&rft.identifier=++Koike%2C+C+and+Pradalier%2C+C+and+Bessiere%2C+P+and+Mazer%2C+E++(2003)+Obstacle+Avoidance+and+Proscriptive+Bayesian+Programming.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3756%2F