Mathematical building blocks: From geometry to quaternions to bayesian

Stower, Rebecca, Belzile, Bruno et St-Onge, David. 2022. « Mathematical building blocks: From geometry to quaternions to bayesian ». In Foundations of Robotics: A Multidisciplinary Approach with Python and ROS. pp. 127-174. Singapore : Springer Nature Singapore.

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Résumé

Learning objectives: The objective at the end of this chapter is to be able to: • use vector and matrix operations; • represent translation, scaling, and symmetry in matrix operations; • understand the use and limitation of Euler’s angles and quaternions; • use homogeneous transformations; • use derivatives to find a function optimums and linearize a function; • understand the importance and the definition of a Gaussian distribution; • use t-tests and ANOVAs to validate statistical hypothesis.

Type de document:	Chapitre de livre
ISBN:	978-981-19-1983-1
Éditeurs:	Éditeurs ORCID Herath, Damith NON SPÉCIFIÉ St-Onge, David NON SPÉCIFIÉ
Professeur:	Professeur St-Onge, David
Affiliation:	Génie mécanique
Date de dépôt:	27 sept. 2022 13:59
Dernière modification:	26 oct. 2022 15:24
URI:	https://espace2.etsmtl.ca/id/eprint/25415

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