Progress in symmetry preserving robot perception and control through geometry and learning

This article reports on recent progress in robot perception and control methods developed by taking the symmetry of the problem into account. Inspired by existing mathematical tools for studying the symmetry structures of geometric spaces, geometric sensor registration, state estimator, and control...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghaffari, Maani, Zhang, Ray, Zhu, Minghan, Lin, Chien Erh, Lin, Tzu-Yuan, Teng, Sangli, Li, Tingjun, Liu, Tianyi, Song, Jingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515513/
https://www.ncbi.nlm.nih.gov/pubmed/36185972
http://dx.doi.org/10.3389/frobt.2022.969380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515513/
https://www.ncbi.nlm.nih.gov/pubmed/36185972
http://dx.doi.org/10.3389/frobt.2022.969380

Ejemplares similares