Physics-Guided Machine Learning Approach to Safe Quasi-Static Impact Situations in Human-Robot Collaboration

Nemanja Kovincic; Hubert Gattringer; Andreas Müller; Mathias Brandstötter

doi:10.1115/1.4065671

Physics-Guided Machine Learning Approach to Safe Quasi-Static Impact Situations in Human-Robot Collaboration

Nemanja Kovincic, Hubert Gattringer, Andreas Müller, Mathias Brandstötter

Institute of Robotics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	071011
Number of pages	8
Journal	Journal of Computational and Nonlinear Dynamics
Volume	19
Issue number	7
DOIs	https://doi.org/10.1115/1.4065671
Publication status	Published - Jul 2024

Fields of science

203015 Mechatronics
203022 Technical mechanics
202 Electrical Engineering, Electronics, Information Engineering
202035 Robotics
203013 Mechanical engineering

JKU Focus areas

Digital Transformation

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10.1115/1.4065671

Cite this

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title = "Physics-Guided Machine Learning Approach to Safe Quasi-Static Impact Situations in Human-Robot Collaboration",

author = "Nemanja Kovincic and Hubert Gattringer and Andreas M{\"u}ller and Mathias Brandst{\"o}tter",

year = "2024",

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AU - Kovincic, Nemanja

AU - Gattringer, Hubert

AU - Müller, Andreas

AU - Brandstötter, Mathias

PY - 2024/7

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M1 - 071011

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Physics-Guided Machine Learning Approach to Safe Quasi-Static Impact Situations in Human-Robot Collaboration

Fields of science

JKU Focus areas

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