A robotic CAD system using a Bayesian framework

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2000, Pages 1597-1604

  Mekhnacha, K ^a   Mazer, E ^b   Bessiere P ^a  

^a INPG IMAG   (France)

^b ZIRST   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; CONSTRAINT THEORY; GENETIC ALGORITHMS; INVERSE PROBLEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

BAYESIAN FRAMEWORK; GEOMETRIC UNCERTAINTIES;

ROBOTICS;

EID: 0034446438     PISSN: 21530858     EISSN: 21530866     Source Type: Journal    
DOI: 10.1109/IROS.2000.895201     Document Type: Article

References (15)

1. Méthodes probabilistes Bayesiennes pour la prise en compte des incertitudes Géométriques: Application á la CAO-robotique
2. A synthesis of manipulator control programs from task-level specifications
3. Sensor fusion in certainty grids for mobile robots
4. Planning robust motion strategies for mobile robots
5. Vérification-Correction de programme pour la prise en compte des incertitudes en programmation automatique des robots
6. Assemblability based on maximum likelihood configuration of tolerances
7. Constraints on Simple Geometry in Two and Three Dimensions
8. Monte Carlo simulation and numerical integration
9. The fast calculation of form factors using low discrepancy point sequences
10. Monte Carlo localization for mobile robots
11. Adaptation in natural and artificial systems
12. The Ariadne's clew algorithm