?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Proscriptive+Bayesian+Programming+Application+for+Collision+Avoidance&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=Evolve+safely+in+an+unchanged+environment%0Aand+possibly+following+an+optimal+trajectory+is+one+big%0Achallenge+presented+by+situated+robotics+research+field.+Collision%0Aavoidance+is+a+basic+security+requirement+and+this%0Apaper+proposes+a+solution+based+on+a+probabilistic+approach%0Acalled+Bayesian+Programming.+This+approach+aims+to+deal%0Awith+the+uncertainty%2C+imprecision+and+incompleteness+of+the%0Ainformation+handled.+Some+examples+illustrate+the+process%0Aof+embodying+the+programmer+preliminary+knowledge+into%0Aa+Bayesian+program+and+experimental+results+of+these+examples%0Aimplementation+in+an+electrical+vehicle+are+described%0Aand+commented.+Some+videos+illustrating+these+experiments%0Acan+be+found+at+http%3A%2F%2Fwww-laplace.imag.fr.&rft.date=2003&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3757%2F1%2FKoike03a.pdf&rft.identifier=++Koike%2C+C+and+Pradalier%2C+C+and+Bessiere%2C+P+and+Mazer%2C+E++(2003)+Proscriptive+Bayesian+Programming+Application+for+Collision+Avoidance.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3757%2F