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Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
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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
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Proceedings OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Title
Proceedings
Subtitle
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Authors
Peter M. Roth
Kurt Niel
Publisher
Verlag der Technischen Universität Graz
Location
Wels
Date
2017
Language
English
License
CC BY 4.0
ISBN
978-3-85125-527-0
Size
21.0 x 29.7 cm
Pages
248
Keywords
Tagungsband
Categories
International
Tagungsbände

Table of contents

  1. Learning / Recognition 24
  2. Signal & Image Processing / Filters 43
  3. Geometry / Sensor Fusion 45
  4. Tracking / Detection 85
  5. Vision for Robotics I 95
  6. Vision for Robotics II 127
  7. Poster OAGM & ARW 167
  8. Task Planning 191
  9. Robotic Arm 207
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