Online Gain Tuning Using Neural Networks: A Comparative Study

Autor: Ashley Hill, Jean Laneurit, Roland Lenain, Eric Lucet

Publikováno v: AgriEngineering, Vol 4, Iss 4, Pp 1200-1211 (2022)

This paper addresses the problem of adapting a control system to unseen conditions, specifically to the problem of trajectory tracking in off-road conditions. Three different approaches are considered and compared for this comparative study: The firs

Externí odkaz: https://doaj.org/article/d3d9fb4b776647888d3635a4ceb6ae26

MULTI-ROBOT MOTION PLANNING: A MODIFIED RECEDING HORIZON APPROACH FOR REACHING GOAL STATES

Autor: José M. Mendes Filho, Eric Lucet

Publikováno v: Acta Polytechnica, Vol 56, Iss 1, Pp 10-17 (2016)

This paper proposes the real-time implementation of an algorithm for collision-free motion planning based on a receding horizon approach, for the navigation of a team of mobile robots in presence of obstacles of different shapes. The method is simula

Externí odkaz: https://doaj.org/article/b9a4e7a2379b4a3489aa80e731e9d00f

A kinematic parameter estimator applied to a bi-directional vehicle

Autor: Eric Lucet, Alain Micaelli

Publikováno v: IFAC 2020, International Federation of Automatic Control
IFAC 2020, International Federation of Automatic Control, Jul 2020, Berlin, Germany

International audience; This paper deals with the online estimation of the geometric and kinematic parameters of a wheeled mobile robot, with the objective of its precise navigation. To do this, the implementation of an algorithm for estimating these

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f04579a2ab0bf64cee044faf83a790cc
https://doi.org/10.1016/j.ifacol.2020.12.906

A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots

Autor: Ashley Hill, Eric Lucet, Roland Lenain

Publikováno v: Informatics in Control, Automation and Robotics ISBN: 9783030924416

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8aad7e949a219d668a113eee0ced0465
https://doi.org/10.1007/978-3-030-92442-3_8

Validating Safety in Human–Robot Collaboration: Standards and New Perspectives

Autor: Jose Saenz, Aske Bach Lassen, Adriano Scibilia, Jule Bessler, Eric Lucet, Alice Magisson, Marcello Valori, Leendert Schaake, Sebastian Herbster, Kurt Nielsen, Gerdienke B. Prange-Lasonder, Morten Kuhnrich, Roland Behrens, Irene Fassi, Catherine Bidard

Publikováno v: Robotics
Robotics, 2021, 10 (2), pp.65. ⟨10.3390/robotics10020065⟩
Robotics, 10(2):65. MDPI
Robotics, Vol 10, Iss 65, p 65 (2021)
Volume 10
Issue 2
Robotics, MDPI, 2021, 10 (2), pp.65. ⟨10.3390/robotics10020065⟩
Robotics (Basel) 10 (2021). doi:10.3390/robotics10020065
info:cnr-pdr/source/autori:Valori M.; Scibilia A.; Fassi I.; Saenz J.; Behrens R.; Herbster S.; Bidard C.; Lucet E.; Magisson A.; Schaake L.; Bessler J.; Prange-Lasonder G.B.; Kuhnrich M.; Lassen A.B.; Nielsen K./titolo:Validating safety in human-robot collaboration: Standards and new perspectives/doi:10.3390%2Frobotics10020065/rivista:Robotics (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:10

International audience; Human–robot collaboration is currently one of the frontiers of industrial robot implementation. In parallel, the use of robots and robotic devices is increasing in several fields, substituting humans in “4D”—dull, dirt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98a3ee626f6c8f1280a9bd89509d199
https://hal-cea.archives-ouvertes.fr/cea-03313555