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Feature Engineering to Optimize the 6-DOF Trajectories for Robotic Additive Manufacturing

Chaudhary, Pranav Praveen and Kamble, Pradnil (2026) Feature Engineering to Optimize the 6-DOF Trajectories for Robotic Additive Manufacturing. Master's, Universität Rostock.

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Item URL in elib:https://elib.dlr.de/225031/
Document Type:Thesis (Master's)
Title:Feature Engineering to Optimize the 6-DOF Trajectories for Robotic Additive Manufacturing
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Chaudhary, Pranav Praveenpranav.choudhary (at) dlr.deUNSPECIFIEDUNSPECIFIED
Kamble, Pradnilpradnil.kamble (at) dlr.dehttps://orcid.org/0000-0003-1299-4340217368447
Date:June 2026
Open Access:No
Number of Pages:128
Status:Published
Keywords:Robotic Additive Manufacturing; Feature Engineering; Machine Learning; Digital Twin; Trajectory
Institution:Universität Rostock
Department:Faculty of Computer Science and Electrical Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - ASPIRO - Aerospace production using intelligent robotic systems, V - FFAE - Fahrzeugkonzepte, Fahrzeugstruktur, Antriebsstrang und Energiemanagement
Location: Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Architectures and Lightweight Design Concepts
Deposited By: Kamble, Pradnil
Deposited On:11 Jun 2026 10:09
Last Modified:11 Jun 2026 10:09

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