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Gustavo Arechavaleta

2 accepted papers

2020

Exploiting sparsity in robot trajectory optimization with direct collocation and geometric algorithms

ICRA 2020poster

This paper presents a robot trajectory optimization formulation that builds upon numerical optimal control and Lie group methods. In particular, the inherent sparsity of direct collocation is carefully analyzed to dramatically reduce the number of floating-point operations to get first-order informa…

Cited by 6SourceScholar
2019

Practical guide to solve the minimum-effort problem with geometric algorithms and B-Splines

ICRA 2019poster

This paper focuses on important implementation issues of numerical optimal control that are often overlooked. In particular, transcription methods should be carefully implemented for obtaining a discrete representation of the problem. For this purpose, we explain the algorithms to solve the minimum-…

Cited by 7SourceScholar