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Modeling Intuitive Behavior for Safe Human/Robot Coexistence and Cooperation

Title data

Henrich, Dominik ; Kuhn, Stefan:
Modeling Intuitive Behavior for Safe Human/Robot Coexistence and Cooperation.
In: Proceedings 2006 IEEE International Conference on Robotics and Automation. - Orlando, FL, USA , 2006 . - pp. 3929-3934
DOI: https://doi.org/10.1109/ROBOT.2006.1642304

Project information

Project title:
Project's official title
Project's id
Sicherheitsstrategien für die Mensch/Roboter-Kooperation und -Koexistenz (SIMERO-2)
5451027

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

An intuitive behavior model for safe human/robot coexistence and cooperation is presented. For this purpose, we classify the robot behavior into four cooperation states, which are characterized by two criteria: motion context and interaction context. The motion context can be gross or fine and the interaction context can be free or guided. We describe basic principles relevant to modeling safe and intuitive behavior for robots. The desired robot behavior is detailed for each of the four states along with the necessary transitions between those states.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: force following; Human-Robot-Coexistence; Human-Robot-Cooperation; Industrial robots
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 27 Feb 2025 09:00
Last Modified: 28 Aug 2025 06:55
URI: https://eref.uni-bayreuth.de/id/eprint/92573