Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification

Trinh, Minh (Corresponding author)^RWTH* ; Geist, Andreas René (Corresponding author)^RWTH* ; Monnet, Josefine^RWTH* ; Vilceanu, Stefan^RWTH* ; Trimpe, Johann Sebastian (Corresponding author)^RWTH* ; Brecher, Christian (Corresponding author)^RWTH*

In
14th IFAC Symposium on Robotics ROBOTICS 2025 Paris, France, July 15-18, 2025 / Edited by Hyunjin Choi

In
IFAC-PapersOnLine 59(18), Seiten/Artikel-Nr.:31-36

2025

Konferenz/Event:14. IFAC Symposium on Robotics , Paris , France , ROBOTICS 2025 , July 15-18, 2025

ImpressumFrankfurt ; München [u.a.] : Elsevier

ISSN1474-6670

Online
DOI: 10.1016/j.ifacol.2025.10.192
10.1016/j.ifacol.2025.10.192

Einrichtungen

Thematische Einordnung (Klassifikation)
DDC: 600

Dokumenttyp
Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105023068889
WOS Core Collection: WOS:001612025000007

Interne Identnummern
RWTH-2026-00121
Datensatz-ID: 1024516

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

; SCOPUS

Record created 2026-01-05, last modified 2026-01-06

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