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DESTINY 2 IO ENDLOSTOR-SCHATZKARTE ACIN, TU Wien WIE VIELE LEUTE NUTZEN GATE.IO?

GATE.IO TOKEN HINZUFÜGEN

Matthias Hirschmanner is a Ph.D. student at the Vision for Robotics group at the Automation and Control Institute (ACIN) at TU Wien in Vienna, Austria. He holds a diploma (M.Sc.) in electrical engineering with a specialisation in energy engineering and automation technology from TU Wien. He is currently part of the project Caring Robots // Robotic Care which aims to support care workers and care recipients with robotic technologies developed through participatory design.

Interests
  • Robotics
  • Imitation Learning
  • Human-Robot Interaction
Education

  • MSc in Energy Systems and Automation Technology, 2017

    TU Wien

  • BSc in Electrical Engineering, 2014

    TU Wien

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Helena Anna Frijns, Matthias Hirschmanner, Barbara Sienkiewicz, Peter Hönig, Bipin Indurkhya, Markus Vincze (2024). Human-in-the-loop error detection in an object organization task with a social robot. Frontiers in Robotics and AI.

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Matthias Hirschmanner, Reinhard Grabler, Helena Anna Frijns, Evelyn Mayer-Haas, Markus Vincze (2024). Prototype of a Care Documentation Support System Using Audio Recordings of Care Actions and Large Language Models. Workshop on Human — Large Language Model Interaction at HRI ‘24.

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Reinhard Grabler, Matthias Hirschmanner, Helena Anna Frijns, Sabine Theresia Koeszegi (2024). Privacy Agents: Utilizing Large Language Models to Safeguard Contextual Integrity in Elderly Care. Privacy-Aware Robotics Workshop at HRI ‘24.

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Helena Anna Frijns, Ralf Vetter, Matthias Hirschmanner, Reinhard Grabler, Laura Vogel, Sabine Theresia Koeszegi (2024). Co-design of Robotic Technology with Care Home Residents and Care Workers. To be presented in Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA'24).

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Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel, Matthias Hirschmanner, Markus Vincze (2024). STAR: Shape-focused Texture Agnostic Representations for Improved Object Detection and 6D Pose Estimation. arXiv preprint.

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