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Original title:
Robot Systems in Industrial Applications: From Trajectory Optimization and Computer Vision to Grasp Planning
Translated title:
Robot Systems in Industrial Applications: From Trajectory Optimization and Computer Vision to Grasp Planning
Author:
Lin, Jianjie
Year:
2023
Document type:
Dissertation
Faculty/School:
TUM School of Computation, Information and Technology
Advisor:
Knoll, Alois C. (Prof. Dr. habil.)
Referee:
Knoll, Alois C. (Prof. Dr. habil.); Kröger, Torsten (Prof. Dr.)
Language:
en
Subject group:
NAT Naturwissenschaften (allgemein)
TUM classification:
DAT 260; DAT 815
Abstract:
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...     »
Translated abstract:
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
Date of submission:
11.04.2022
Oral examination:
23.05.2023
File size:
45602445 bytes
Pages:
213
Urn (citeable URL):
https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230523-1654929-1-4
Last change:
28.03.2024
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