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J. Ros

4 papers hereh-index 15609 citations61 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CE1
same name
  • J. Ros — 5 papers, h 16
  • J. Ros — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSimplification of multibody models by parameter reduction

1 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CE2020★ 1 cited

Estimation of lateral track irregularity through Kalman filtering techniques

S. Munoz, J. Ros, J. L. Escalona

The aim of this work is to develop a model-based methodology for monitoring lateral track irregularities based on the use of inertial sensors mounted on an in-service train. To thi…

cs.RO2017

Drawbacks and alternatives to the numerical calculation of the base inertial parameters expressions for low mobility mechanisms

Xabier Iriarte, Javier Ros, Aitor Plaza +2

Base inertial parameters constitute a minimal inertial parametrization of mechanical systems that is of interest, for example, in parameter estimation and model reduction. Numerica…

cs.RO2017

Symbolic Multibody Methods for Real-Time Simulation of Railway Vehicles

Javier Ros, Aitor Plaza, Xabier Iriarte +1

In this work, recently developed state-of-the-art symbolic multibody methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic imple…

cs.RO2017★ 1 cited

Simplification of multibody models by parameter reduction

Javier Ros, Xabier Iriarte, Aitor Plaza +1

Model selection methods are used in different scientific contexts to represent a characteristic data set in terms of a reduced number of parameters. Apparently, these methods have…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.