Optimized Model-Based Path Generation for Robotic Manufacturing Processes
Seiten
2020
Fraunhofer Verlag
978-3-8396-1614-7 (ISBN)
Fraunhofer Verlag
978-3-8396-1614-7 (ISBN)
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Robotic programming is still a challenge in manufacturing. Reasons for this challenge are the time-consuming, complex, primarily manually optimized, and expert-dependent path generation. Therefore, easy and optimized programmable robotic manufacturing systems are required.
To make up for this deficiency, this dissertation raises the following research question: How to automatically generate offline optimized paths for robotic manufacturing processes (RMPs) under constraints and process optimization criteria? This research question is answered with the following evaluated thesis: Robotic paths can be automatically optimized by methodologically configuring and deploying sample-based generation algorithms, based on the procedural interpretation of the Product, Process, and Resource model-based components of the RMP.
The generalized approach and implemented architecture is named Automatic Optimized Offline Programming. Three different use-cases are presented for evaluating the path planning approach: (1) The optimized collision avoidance in robotic welding, (2) the optimized stiffness for robotic milling, and (3) the optimized sensing strategy for robotic deburring.
To make up for this deficiency, this dissertation raises the following research question: How to automatically generate offline optimized paths for robotic manufacturing processes (RMPs) under constraints and process optimization criteria? This research question is answered with the following evaluated thesis: Robotic paths can be automatically optimized by methodologically configuring and deploying sample-based generation algorithms, based on the procedural interpretation of the Product, Process, and Resource model-based components of the RMP.
The generalized approach and implemented architecture is named Automatic Optimized Offline Programming. Three different use-cases are presented for evaluating the path planning approach: (1) The optimized collision avoidance in robotic welding, (2) the optimized stiffness for robotic milling, and (3) the optimized sensing strategy for robotic deburring.
| Erscheinungsdatum | 15.09.2020 |
|---|---|
| Reihe/Serie | Stuttgarter Beiträge zur Produktionsforschung ; 106 |
| Zusatzinfo | num., mostly col. illus. and tab. |
| Verlagsort | Stuttgart |
| Sprache | englisch |
| Maße | 148 x 210 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Maschinenbau | |
| Schlagworte | B • Bahnplanung • Fertigungsprozess • Fertigungsprozesse • Fraunhofer IPA • Ingenieure • kleine und mittlere Unternehmen KMU • Offline-Programmierung • Planung • probabilistische Algorithmen • Produktion • Roboter • Roboterprogrammierung • Robotik |
| ISBN-10 | 3-8396-1614-X / 383961614X |
| ISBN-13 | 978-3-8396-1614-7 / 9783839616147 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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