title: A Robotic CAD System using a Bayesian Framework creator: Mekhnacha, Dr K creator: Mazer, Dr E creator: Bessiere, Dr P subject: Robotics description: We present in this paper a Bayesian CAD system for robotic applications. We address the problem of the propagation of geometric uncertainties and how esian CAD system for robotic applications. We address the problem of the propagation of geometric uncertainties and how to take this propagation into account when solving inverse problems. We describe the methodology we use to represent and handle uncertainties using probability distributions on the system's parameters and sensor measurements. It may be seen as a generalization of constraint-based approaches where we express a constraint as a probability distribution instead of a simple equality or inequality. Appropriate numerical algorithms used to apply this methodology are also described. Using an example, we show how to apply our approach by providing simulation results using our CAD system. date: 2000 type: Conference Paper type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/3738/1/mekhnacha00a.pdf identifier: Mekhnacha, Dr K and Mazer, Dr E and Bessiere, Dr P (2000) A Robotic CAD System using a Bayesian Framework. [Conference Paper] relation: http://cogprints.org/3738/