@book{EngelnMuellgesUhlig1996,
  author    = {Engeln-M{\"u}llges, Gisela and Uhlig, Frank},
  title     = {Numeric Algorithms with Fortran},
  publisher = {Springer},
  address   = {Berlin [u.a.]},
  isbn      = {3-540-60529-0},
  pages     = {XXII, 602 S. : Ill., graph. Darst. + 1 CD-ROM},
  year      = {1996},
  language  = {en}
}
@book{EngelnMuellgesUhlig1996,
  author    = {Engeln-M{\"u}llges, Gisela and Uhlig, Frank},
  title     = {Numerical algorithms with C},
  publisher = {Springer},
  address   = {Berlin [u.a.]},
  isbn      = {3-540-60530-0},
  pages     = {XXII, 596 S. : graph. Darst. + 1 CD-ROM},
  year      = {1996},
  language  = {en}
}
@book{EngelnMuellgesZimmermann1992,
  author    = {Engeln-M{\"u}llges, Gisela and Zimmermann, Hans-J{\"u}rgen},
  title     = {Methoden und Modelle des Operations Research : f{\"u}r Ingenieure, {\"O}konomen und Informatiker / Hans-J{\"u}rgen Zimmermann. [Hrsg. von Gisela Engeln-M{\"u}llges] - 2., {\"u}berarb. Aufl.},
  publisher = {Vieweg},
  address   = {Braunschweig ; Wiesbaden},
  isbn      = {3-528-18917-7},
  pages     = {XVI, 385 S. : graph. Darst. ; 23 cm},
  year      = {1992},
  language  = {de}
}
@inproceedings{EngemannBadriWenningetal.2019,
  author    = {Engemann, Heiko and Badri, Sriram and Wenning, Marius and Kallweit, Stephan},
  title     = {Implementation of an Autonomous Tool Trolley in a Production Line},
  series = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  booktitle = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-19648-6},
  doi       = {10.1007/978-3-030-19648-6_14},
  pages     = {117 -- 125},
  year      = {2019},
  language  = {en}
}
@article{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and C{\"o}nen, Patrick and Dawar, Harshal},
  title     = {OMNIVIL - an autonomous mobile manipulator for flexible production},
  series = {Sensors},
  volume    = {20},
  journal   = {Sensors},
  number    = {24, art. no. 7249},
  publisher = {MDPI},
  address   = {Basel},
  isbn      = {1424-8220},
  doi       = {10.3390/s20247249},
  pages     = {1 -- 30},
  year      = {2020},
  language  = {en}
}
@incollection{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib},
  title     = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation},
  series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  publisher = {IOS Press},
  address   = {Amsterdam},
  isbn      = {978-1-64368-137-5},
  doi       = {10.3233/FAIA200770},
  pages     = {89 -- 97},
  year      = {2020},
  abstract  = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.},
  language  = {en}
}
@inproceedings{EngemannWiesenKallweitetal.2018,
  author    = {Engemann, Heiko and Wiesen, Patrick and Kallweit, Stephan and Deshpande, Harshavardhan and Schleupen, Josef},
  title     = {Autonomous mobile manipulation using ROS},
  series = {Advances in Service and Industrial Robotics},
  booktitle = {Advances in Service and Industrial Robotics},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-61276-8},
  doi       = {10.1007/978-3-319-61276-8_43},
  pages     = {389 -- 401},
  year      = {2018},
  language  = {en}
}
@article{Enning1992,
  author    = {Enning, Manfred},
  title     = {Kopplungen ausschalten. Technisch anspruchsvolle Regelungsverfahren vermindern Lageabweichungen bei schnell und genau arbeitenden Robotern.},
  series = {Maschinenmarkt. 98 (1992), H. 46},
  journal   = {Maschinenmarkt. 98 (1992), H. 46},
  isbn      = {0341-5775},
  pages     = {44 -- 46},
  year      = {1992},
  language  = {de}
}
@article{Enning1992,
  author    = {Enning, Manfred},
  title     = {Grunds{\"a}tzliche Konzepte bei Lageregelungen f{\"u}r Industrieroboter},
  series = {Maschinenmarkt. 98 (1992), H. 37},
  journal   = {Maschinenmarkt. 98 (1992), H. 37},
  isbn      = {0341-5775},
  year      = {1992},
  language  = {de}
}
@article{Enning2006,
  author    = {Enning, Manfred},
  title     = {Flexcargorail - ein Fahrzeugsystem f{\"u}r effizienten Einzelwagenverkehr / Baier, Martin ; Enning, Manfred},
  series = {Logistik Management. 8 (2006), H. 3},
  journal   = {Logistik Management. 8 (2006), H. 3},
  isbn      = {1436-6231},
  pages     = {28 -- 42},
  year      = {2006},
  language  = {de}
}