Lecture
Robust-RRT: Motion Planning for Uncertain Systems
Related lectures (12)
Bayesian Inference: Error Minimization
Discusses error minimization in Bayesian inference and the importance of prior knowledge in the inference process.
Uncertainty Sources in LCAMOOC: Analyse du cycle de vie environmental
Explores uncertainty sources in Life Cycle Assessment, emphasizing the need for accurate data and precise measurements.
Propagation of Uncertainty: Model Measurements
Covers the propagation of uncertainty in model measurements and the importance of understanding errors.
Propagation of Uncertainty II
Explores the propagation of uncertainty in correlated variables and extreme correlations, Tchebychev inequality, confidence intervals, and Taylor series development.
Uncertainty Quantification and Label Error Detection
Explores uncertainty quantification and label error detection in deep learning for semantic segmentation, focusing on challenges and methods for error detection.
Inference of Reaction Kinetics
Focuses on the inference of reaction kinetics in combustion, covering rules inference, sensitivity analysis, and Bayesian inference.
Uncertainty Analysis in LCAMOOC: Analyse du cycle de vie environmental
Explores uncertainty analysis in Life Cycle Assessment, covering sensitivity, probability functions, parameter estimation, pedigree approach, and uncertainty propagation.
Quantum Mechanics: Particle Detection
Explores the impact of particle detection on quantum systems, including energy outcomes, wave function behavior, and eigenstate approximation.
Structure of Measure-Preserving Systems
Covers the abstract structure of measure-preserving systems and aims to understand their classification and ergodic decompositions.
Expert Systems: Backward Chaining
Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.