Prof. Dr.-Ing. Sami Haddadin

Inhaber, Lehrstuhl für Robotik und Systemintelligenz | Technische Universität München

Direktor der Munich School of Robotics and Machine Intelligence (MSRM) | Technische Universität München

 

Sami Haddadin ist Inhaber des Lehrstuhls für Robotik und Systemintelligenz an der Technischen Universität München (TUM) und Gründungs- und Executivedirektor des Munich Institute of Robotics and Machine Intelligence (MIRMI). Professor Haddadin forscht auf den Gebieten der Robotik, künstlichen Intelligenz (KI) und der motorischen Intelligenz des Menschen.

Profil
Beteiligungen und Beiträge
Publikationen
Beteiligungen und Beiträge
Zur Suche
Digitale Arbeitswelt

Responsible Robotics (RRAI) Ethische und soziale Aspekte von KI-basierten Transformationen in der Arbeits- und Wissensumgebung des Gesundheitswesens

Forschungsprojekt

Das Projektteam untersuchte die sozialen, ethischen und rechtlichen Dimensionen zweier neuartiger KI-basierter Technologien und entwickelte einen praktischen Werkzeugkasten für interdisziplinäre KI-Innovationen.

Publikationen

  • Nertinger, Simone; Kirschner, Robin Jeanne; Naceri, Abdeldjallil; Haddadin, Sami (2022)

    Acceptance of Remote Assistive Robots with and without Human-in-the-Loop for Healthcare Applications

    Zeitschriftenaufsatz
    International Journal of Social Robotics
    DOI: 10.1007/s12369-022-00931-9
    Projekt: RR-AI
  • McLennan, Stuart; Fiske, Amelia; Celi, Leo Anthony; Müller, Ruth; Harder, Jan; Ritt, Konstantin; Haddadin, Sami; Buyx, Alena (2020)

    An embedded ethics approach for AI development

    Zeitschriftenaufsatz
    Nat Mach Intell (Nature Machine Intelligence), Band: 2, Nr. 9, S. 488-490
    DOI: 10.1038/s42256-020-0214-1
    Projekt: RR-AI
  • Eckhoff, Moritz; Kirschner, Robin Jeanne; Kern, Elena; Abdolshah, Saeed; Haddadin, Sami (2022)

    An MPC Framework For Planning Safe & Trustworthy Robot Motions

    Konferenzpapier
    Proceedings of the 2022 International Conference on Robotics and Automation (ICRA)
    DOI: 10.1109/icra46639.2022.9812160
    Projekt: RR-AI
  • Skerlj, Jon; Braun, Maximilian; Witz, Sophia; Breuer, Svenja; Bak, Marieke; Scholz, Sebastian; Naceri, Abdeldjallil; Müller, Ruth; Haddadin, Sami; Eisenberger, Iris (2023)

    Data Recording for Responsible Robotics

    Konferenzpapier
    Proceedings of the 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), S. 103-109
    DOI: 10.1109/arso56563.2023.10187414
    Projekt: RR-AI
  • Fiske, Amelia; Tigard, Daniel; Müller, Ruth; Haddadin, Sami; Buyx, Alena; McLennan, Stuart (2020)

    Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.

    Zeitschriftenaufsatz
    The American journal of bioethics : AJOB, Band: 20, Nr. 11, S. 32-35
    DOI: 10.1080/15265161.2020.1820101
    Projekt: RR-AI
  • McLennan, Stuart; Fiske, Amelia; Tigard, Daniel W.; Müller, Ruth; Haddadin, Sami; Buyx, Alena (2022)

    Embedded ethics: a proposal for integrating ethics into the development of medical AI

    Zeitschriftenaufsatz
    BMC Medical Ethics, Band: 23, Nr. 1, S. 6
    DOI: 10.1186/s12910-022-00746-3
    Projekt: RR-AI
  • Kirschner, Robin Jeanne; Mayer, Henning; Burr, Lisa; Mansfeld, Nico; Abdolshah, Saeed; Haddadin, Sami (2022)

    Expectable Motion Unit: Avoiding hazards from human involuntary motions in Human-Robot interaction

    Zeitschriftenaufsatz
    IEEE Robotics and Automation Letters, Band: 7, Nr. 2, S. 2993-3000
    DOI: 10.1109/lra.2022.3144535
    Projekt: RR-AI
  • Mansfeld, Nico; Peña, Guillermo Gómez; Hamad, Mazin; Kurdas, Aalexander; Abdolshah, Saeed; Haddadin, Sami (2022)

    Global safety characteristics of wheeled mobile manipulators

    Konferenzpapier
    Proceedings of the 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
    DOI: 10.1109/case49997.2022.9926607
    Projekt: RR-AI
  • Tröbinger, Mario; Jähne, Christoph; Qu, Zheng; Elsner, Jean; Reindl, Anton; Getz, Sebastian; Goll, Thore; Loinger, Benjamin; Loibl, Tamara; Kugler, Christoph; Calafell, Carles; Sabaghian, Mohamadreza; Ende, Tobias; Wahrmann, Daniel; Parusel, Sven; Haddadin, Simon; Haddadin, Sami (2021)

    Introducing GARMI – A Service Robotics Platform to Support the Elderly at Home.

    Design Philosophy, System Overview and First Results.

    Konferenzpapier
    Proceedings of the IEEE Robot. Autom. Lett. (IEEE Robotics and Automation Letters), Band: 6, Nr. 3, S. 5857-5864
    DOI: 10.1109/lra.2021.3082012
    Projekt: RR-AI
  • Reindl, Anton; Rudigkeit, Nina; Ebers, Martin; Trobinger, Mario; Elsner, Jean; Haddadin, Sami (2021)

    Legal and Technical Considerations on Unified, Safe and Data-Protected Haptic Telepresence in Healthcare

    Konferenzpapier
    Proceedings of the 2021 IEEE International Conference 2021, S. 239-243
    DOI: 10.1109/isr50024.2021.9419559
    Projekt: RR-AI
  • Skerlj, Jon; Hamad, Mazin; Elsner, Jean; Naceri, Abdeldjallil; Haddadin, Sami (2023)

    Safe-By-Design Digital Twins for Human-Robot Interaction: A Use Case for Humanoid Service Robots

    Konferenzpapier
    Proceedings of the 2024 IEEE International Conference on Robotics and Automation (ICRA)
    Projekt: RR-AI
  • Naceri, Abdeldjallil; Elsner, Jean; Tröbinger, Mario; Sadeghian, Hamid; Johannsmeier, Lars; Voigt, Florian; Chen, Xiao; Macari, Daniela; Jähne, Christoph; Berlet, Maximilian; Fuchtmann, Jonas; Figueredo, Luis; Feußner, Hubertus; Wilhelm, Dirk; Haddadin, Sami (2022)

    Tactile Robotic Telemedicine for safe Remote Diagnostics in Times of Corona: System Design, Feasibility and Usability study

    Zeitschriftenaufsatz
    IEEE Robotics and Automation Letters, Band: 7, Nr. 4, S. 10296-10303
    DOI: 10.1109/lra.2022.3191563
    Projekt: RR-AI
  • Skerlj, Jon; Pérez-Suay, Daniel; Knebel, Severin; Sadeghian, Hamid; Naceri, Abdeldjallil; Haddadin, Sami (2023)

    Virtual Reality-Based Framework for Service Robotics: Data monitoring and recording during rehabilitation scenarios

    Zeitschriftenaufsatz
    IFAC-PapersOnLine, Band: 56, Nr. 2, S. 7044-7051
    DOI: 10.1016/j.ifacol.2023.10.555
    Projekt: RR-AI