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Virtual obstacles (attached to real world 2D – markers can therefore easily be integrated into the
environmental model).
Figure 7- Augmentation of Virtual Model
by Real World Objects Figure 8 -system architecture
The force feedback system may not only render force feedback for the user during teach-in. It also
can control process forces as e.g. required by the polishing process. Force-Torque information is
acquired from the FT-sensor. An external sensor (Figure 9) is used instead of built in robot [9]
functionality since force values estimated from required motor currents are too inaccurate due to e.g.
gear friction. Process forces can be controlled e.g. for a touch up operation to exact 5N which is well
below the detection threshold of the robot (Figure 10).
Figure 9- FT-sensor and polishing tool Figure 10- measured process forces
7. Conclusion
In this paper we presented the AssistMe project, which aims at enabling more flexible human-robot
collaboration in the industrial context through a user-centred design approach. We outlined the overall
approach of the project as well as its two use cases: (1) Assembly of automotive combustion engines
and (2) Machining (polishing) of continuous casting moulds. We roughly described the main findings
from the first end user evaluations which used a state-of-the-art robotic system. An outlook on
expansion stages 2 and 3 were motivated and described.
151
Proceedings
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Titel
- Proceedings
- Untertitel
- OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Autoren
- Peter M. Roth
- Kurt Niel
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Wels
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-527-0
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 248
- Schlagwörter
- Tagungsband
- Kategorien
- International
- Tagungsbände