?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Robotic+CAD+System+using+a+Bayesian+Framework&rft.creator=Mekhnacha%2C+Dr+K&rft.creator=Mazer%2C+Dr+E&rft.creator=Bessiere%2C+Dr+P&rft.subject=Robotics&rft.description=We+present+in+this+paper+a+Bayesian+CAD+system%0Afor+robotic+applications.+We+address+the+problem+of+the%0Apropagation+of+geometric+uncertainties+and+how+esian%0ACAD+system+for+robotic+applications.+We+address+the%0Aproblem+of+the+propagation+of+geometric+uncertainties%0Aand+how+to+take+this+propagation+into+account+when%0Asolving+inverse+problems.+We+describe+the+methodology%0Awe+use+to+represent+and+handle+uncertainties+using%0Aprobability+distributions+on+the+system's+parameters%0Aand+sensor+measurements.+It+may+be+seen+as+a%0Ageneralization+of+constraint-based+approaches+where+we%0Aexpress+a+constraint+as+a+probability+distribution+instead%0Aof+a+simple+equality+or+inequality.+Appropriate%0Anumerical+algorithms+used+to+apply+this+methodology%0Aare+also+described.+Using+an+example%2C+we+show+how%0Ato+apply+our+approach+by+providing+simulation+results%0Ausing+our+CAD+system.&rft.date=2000&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3738%2F1%2Fmekhnacha00a.pdf&rft.identifier=++Mekhnacha%2C+Dr+K+and+Mazer%2C+Dr+E+and+Bessiere%2C+Dr+P++(2000)+A+Robotic+CAD+System+using+a+Bayesian+Framework.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3738%2F