KIT | KIT-Bibliothek | Impressum | Datenschutz

Stiffness Optimized Multi-Robot Behavior Planning using Reduced Hessian Method

Ye, X. 1; Schwartz, M. 1; Hohmann, S. 1
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)

Abstract:

Stiffness is a critical weakness in robot-driven manufacturing. Following the idea of enhancing stiffness by physically coupling multiple robots, the cooperative behavior should be optimized. We present a reduced Hessian method to generate stiffness optimized placement and motion for coupled robots with given manufacturing processes. To improve efficiency the search space dimension of the optimization problem is reduced while the high-dimensional path and coupling constraints are satisfied in each iteration. By integrating a stiffness model in the optimization, cooperative behavior with stiffness enhancement is generated. The results are validated by experiments for both 7-axis and 6-axis robots with physical coupling.


Verlagsausgabe §
DOI: 10.5445/IR/1000157016
Veröffentlicht am 20.03.2023
Originalveröffentlichung
DOI: 10.1016/j.ifacol.2023.01.133
Scopus
Zitationen: 2
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1474-6670, 2405-8963, 2405-8971, 2589-3653
KITopen-ID: 1000157016
Erschienen in IFAC-PapersOnLine
Verlag International Federation of Automatic Control (IFAC)
Band 55
Heft 38
Seiten 55–60
Bemerkung zur Veröffentlichung Part of special issue: 13th IFAC Symposium on Robot Control SYROCO 2022, Held online, 17-20 October 2022
Schlagwörter Cooperative manipulation, cooperative manufacturing, force and compliance control, multi-cooperative-robot systems, path-constrained trajectory planning
Nachgewiesen in Scopus
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 9 – Industrie, Innovation und Infrastruktur
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page