Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Enrico Regolin"'
Autor:
Matteo Caruso, Enrico Regolin, Federico Julian Camerota Verdù, Stefano Alberto Russo, Luca Bortolussi, Stefano Seriani
Publikováno v:
Machines, Vol 11, Iss 2, p 268 (2023)
For a mobile robot, navigation in a densely crowded space can be a challenging and sometimes impossible task, especially with traditional techniques. In this paper, we present a framework to train neural controllers for differential drive mobile robo
Externí odkaz:
https://doaj.org/article/56ee191bc95647dbba51b1351523982c
Publikováno v:
Engineering Applications of Artificial Intelligence, 121
To achieve optimal robot behavior in dynamic scenarios we need to consider complex dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to achieve time-optimal driving on low surface, the vehicle should utilize dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::610335206e9260c954f1a36d1bcdf110
https://doi.org/10.1016/j.engappai.2023.105893
https://doi.org/10.1016/j.engappai.2023.105893
Publikováno v:
ADHS
We introduce a novel learning-based approach to synthesize safe and robust controllers for autonomous Cyber-Physical Systems and, at the same time, to generate challenging tests. This procedure combines formal methods for model verification with Gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37f47851b69bff86c69d2a332a1b3f37
https://www.sciencedirect.com/science/article/pii/S2405896321012775
https://www.sciencedirect.com/science/article/pii/S2405896321012775
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030380762
Driving on the limits of vehicle dynamics requires predictive planning of future vehicle states. In this work, a search-based motion planning is used to generate suitable reference trajectories of dynamic vehicle states with the goal to achieve the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e149adc078310829eded17702fc8cd1c
https://doi.org/10.1007/978-3-030-38077-9_134
https://doi.org/10.1007/978-3-030-38077-9_134
Publikováno v:
International Journal of Robust and Nonlinear Control. 29:550-564
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a52c84b8fb1609e0e85e3247751e6be
https://doi.org/10.1002/rnc.4105
https://doi.org/10.1002/rnc.4105
Publikováno v:
ICCVE
In this paper a linear Model Predictive Control (MPC) based controller for the path tracking of a given trajectory is proposed, which generates suitable references for the dynamical vehicle states. The goal of the path tracking is to achieve good per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a59533805cd486366b21c10d5b1495f
https://doi.org/10.1109/iccve45908.2019.8965231
https://doi.org/10.1109/iccve45908.2019.8965231
Autor:
Ali Charara, Enrico Regolin, Alessandro Correa Victorino, Angel Alatorre, Antonella Ferrara, Massimo Zambelli
Publikováno v:
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2019, 68 (4), pp.3457-3471. ⟨10.1109/TVT.2019.2903598⟩
IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2019, 68 (4), pp.3457-3471. ⟨10.1109/TVT.2019.2903598⟩
In this paper, an algorithm for the estimation of the longitudinal and lateral forces exerted at wheel level between tires and ground is presented. Starting from a modified version of the single track vehicle model, which also includes the steady-sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dc708bebf75cc66392f3195ff84a56f
https://hal.archives-ouvertes.fr/hal-02552461
https://hal.archives-ouvertes.fr/hal-02552461
Autor:
Frank Naets, Wim Desmet, Sebastiaan van Aalst, Marco Viehweger, Antonella Ferrara, Angel Alatorre, Cyrano Vaseur, Alessandro Correa Victorino, Manuel Acosta, Enrico Regolin, Valentin Ivanov
Publikováno v:
Vehicle System Dynamics
Vehicle System Dynamics, Taylor & Francis, 2020, pp.1-28. ⟨10.1080/00423114.2020.1714672⟩
Vehicle System Dynamics, Taylor & Francis, 2020, pp.1-28. ⟨10.1080/00423114.2020.1714672⟩
This paper presents an in-depth analysis of the application of different techniques for vehicle state and tyre force estimation using the same experimental data and vehicle models, except for the tyre models. Four schemes are demonstrated: (i) an Ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de73c38868965dffb6d2f83e24bbb476
Publikováno v:
Vehicle System Dynamics (0042-3114) vol.57(2019)
In this paper, we describe how vehicle systems and the vehicle motion control are affected by automated driving on public roads. We describe the redundancy needed for a road vehicle to meet certain safety goals. The concept of system safety as well a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69423d04373be8fa574788c0cab71852
https://research.chalmers.se/en/publication/cf6b5055-609b-4fd3-b0db-fa7a6e71ab8a
https://research.chalmers.se/en/publication/cf6b5055-609b-4fd3-b0db-fa7a6e71ab8a
Publikováno v:
Sliding Mode Control of Vehicle Dynamics ISBN: 9781785612091
In this chapter the application of Sliding Mode Control techniques is illustrated to solve the longitudinal vehicle dynamics control problem. Sliding Mode Control is a nonlinear control method capable of offering a number of benefits, the majority of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49588076a27cd8b98273a11e5767d5fb
https://doi.org/10.1049/pbtr005e_ch2
https://doi.org/10.1049/pbtr005e_ch2