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@PHDTHESIS{Behery:999355,
      author       = {Behery, Mohamed Anwar Abdellatif},
      othercontributors = {Lakemeyer, Gerhard and Brecher, Christian},
      title        = {{D}igital shadows for industrial robotic agents in the
                      world wide lab},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2024-12055},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2025; Dissertation, RWTH Aachen University, 2024},
      abstract     = {The digital transformation of production has become
                      imperative to increase efficiency, adaptability, and
                      innovation required to face the rapidly changing market
                      requirements, supply chain disruptions, and global
                      competition.In addition to initiatives such as Industry 4.0
                      and the Industrial Internet of Things (IIoT), the Internet
                      of Production (IoP) aims to establish a world-wide network
                      of research and industrial partners through the World
                      WideLab (WWL). Such a network requires standardized
                      communication protocols, which need to remain flexible to
                      accommodate the different standards, use cases, and
                      contexts. To this end, the WWL uses Digital Shadows (DSs)to
                      represent the different entities: parts, products, machines,
                      processes, and companies. DSs are context and
                      purpose-specific representations of entities in the WWL,
                      which enables them to replace the omnipresent Digital Twins
                      by representing different aspects of the denoted entities.
                      The thesis offers a road map for achieving the WWL as an
                      application on top of the IoP. The thesis focuses on
                      industrial robotics processes, which involve teleoperated
                      robots or human-robot collaborative assembly and are not
                      fully integrated in the WWL as they lack a standard DS for
                      task representation. To bridge this gap, the thesis proposes
                      using Behavior Trees (BTs), which offer a flexible, modular,
                      and composable task representation for industrial robotics
                      processes. BTs emerged in the video game industry and were
                      adopted by the roboticists but do not yet fulfil all the
                      requirements to be a standard DS. The presented work offers
                      a plan to fulfill these requirements. The thesis introduces
                      a framework for extracting and creating DSs for robot
                      teleoperation tasks in industrial processes. It starts by
                      collecting data to extract discrete actions. After that, it
                      learns a library of BTs that represent the commonly executed
                      behaviors. This allows a user to compose more complex
                      behaviors using the learned BTs. The different modules of
                      the framework are evaluated qualitatively and
                      quantitatively. The thesis also proposes and demonstrates
                      three BT extensions increasing BT flexibility to accommodate
                      more use cases. They allow a BT to handle highly dynamic
                      production environments, where it interacts with
                      heterogeneous agents such as humans or robots with different
                      capabilities or knowledge. The dissertation concludes with a
                      discussion that evaluates the applicability of the proposed
                      framework and extensions to different industrial scenarios
                      giving recommendations for future work.},
      cin          = {121920 / 120000 / 080067},
      ddc          = {004},
      cid          = {$I:(DE-82)121920_20140620$ / $I:(DE-82)120000_20140620$ /
                      $I:(DE-82)080067_20181221$},
      pnm          = {WS-A.III - Functional Perspective (X080067-WS-A.III) / DFG
                      project G:(GEPRIS)390621612 - EXC 2023: Internet of
                      Production (IoP) (390621612)},
      pid          = {G:(DE-82)X080067-WS-A.III / G:(GEPRIS)390621612},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2024-12055},
      url          = {https://publications.rwth-aachen.de/record/999355},
}