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Originaltitel:
Robot Systems in Industrial Applications: From Trajectory Optimization and Computer Vision to Grasp Planning
Übersetzter Titel:
Robot Systems in Industrial Applications: From Trajectory Optimization and Computer Vision to Grasp Planning
Autor:
Lin, Jianjie
Jahr:
2023
Dokumenttyp:
Dissertation
Fakultät/School:
TUM School of Computation, Information and Technology
Betreuer:
Knoll, Alois C. (Prof. Dr. habil.)
Gutachter:
Knoll, Alois C. (Prof. Dr. habil.); Kröger, Torsten (Prof. Dr.)
Sprache:
en
Fachgebiet:
NAT Naturwissenschaften (allgemein)
TU-Systematik:
DAT 260; DAT 815
Kurzfassung:
A modern robotic system is a multidisciplinary product, ranging from modern engineering methods to environmental perception. They are key ingredients of the realization of robot automation. Approaches based on the teach-in concepts or predefined parameters will result in long development cycles that are unsuitable for flexible and modular small and medium-sized factory environments. The motivation of this thesis is to demonstrate that autonomous robot tasks can be described and solved in terms...     »
Übersetzte Kurzfassung:
A modern robotic system is a multidisciplinary product, ranging from modern engineering methods to environmental perception. They are key ingredients of the realization of robot automation. Approaches based on the teach-in concepts or predefined parameters will result in long development cycles that are unsuitable for flexible and modular small and medium-sized factory environments. The motivation of this thesis is to demonstrate that autonomous robot tasks can be described and solved in terms...     »
WWW:
https://mediatum.ub.tum.de/?id=1654929
Eingereicht am:
11.04.2022
Mündliche Prüfung:
23.05.2023
Dateigröße:
45602445 bytes
Seiten:
213
Urn (Zitierfähige URL):
https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230523-1654929-1-4
Letzte Änderung:
28.03.2024
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