Title data
Gradmann, Michael ; Wölfel, Kim ; Henrich, Dominik:
Kinesthetic Robot Force Response enhanced by the Laws of Physics.
In:
27th IEEE International Symposium on Robot and Human Interactive Communication. -
Nanjing, China
,
2018
. - pp. 921-927
DOI: https://doi.org/10.1109/ROMAN.2018.8525812
Project information
Project title: |
Project's official title Project's id MRI No information |
---|
Abstract in another language
A popular approach to intuitive robot programming is kinesthetic guiding, where the user leads the robot through a task providing a trajectory for automatized replication. While the flow of information from the user towards the robot is already well explored, the feedback from the robot to the user within the same modality is often neglected. In this work we present an innovative concept, how the robot can state an imminent collision based on an adaptive virtual kinetic friction force. Our approach features both obstacle indication and collision avoidance without additional output devices. A user study motivates certain requirements for the provided feedback, whose fulfillment is demonstrated by numerical experiments.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Keywords: | Collision avoidance; Programming; Robot kinematics; Force; Task analysis; Robot sensing systems |
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: | 17 Feb 2025 15:44 |
Last Modified: | 15 Apr 2025 11:39 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92421 |