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able to compensate that with nearly stepless motion, giving
the option not to lose time by having to stop and wait for
movement transmission on the screen. The map presented
in Fig. 3 was generated in two different areas. The left part
(a) shows a testrun inside a building with small rooms. The
right part of the picture (b) shows the generated map of the
reconnoitring of building structures challenge in big rooms
during the ELROB competition. In (b) it can be seen that
the system tends to lose orientation and fails by generating
a solid map of the area.
V. SUMMARY AND OUTLOOK
The aim of this paper was to develop a concept for the
taurob robot to participate at the ELROB 2016. One part
was to integrate two Pointgrey cameras for a stereo vision
system, twoSick2Dlaser scanners,oneGarminGPSmodule
and one embedded computer into the robot system. The
selection of these sensors was based on the criteria of the
ELROB scenarios. Additionally, a tele-operating mode was
implemented by the open source program ROS for steering
the robot by a keyboard or an Xbox controller. To check
reliability of the robot system for the ELROB, trials in
specific test scenarios were carried out. The obtained results
of the test scenarios show that operating the robot by the
Xbox controller is easier and more precise than by the
keyboard. Furthermore, it is possible to build a 2D map of
indoor areas by the 2D laser scanner. Moreover, a dummy
body with a length of 1,80m and a weight of 20kg can be
dragged by the robot’s arm. Although there is still some
potential for improvement in different fields, the system
achieved a 3rd rank in the Reconnoitring of structures part
of competition.
The next step will be the upgrade to a more autonomous
state of operation including navigation and full support of
visual data processing as well as 3D Mapping including
radiation and visual integration of Points of interests (POIs).
Also, an advanced controlling system for the arm is planned.
The project is in further development and will be featured on
schedule for EnRicH 2017 in Austria and the next ELROB
2018 in Riga.
REFERENCES
[1] austrobotics.com. (2016) austrobotics: robots for research and
education. austrobotics. [Online]. Available: http://austrobotics.com
[2] ELROB2016. (2016) Elrob - the european land robot trial. ELROB
2016. [Online]. Available: http://www.elrob.org/elrob-2016
[3] ELROB2016b. (2016) Concept and rules, elrob 2016, 9th
european land robot trials. ELROB 2016. [Online]. Available:
http://www.elrob.org/elrob-2016-rules
[4] T. Graylin. (2016) Teleop-twist-keyboard. Robot Operating System
ROS. [Online]. Available: http://wiki.ros.org/teleop-twist-keyboard
[5] T. Luksch and K. Berns, Autonome mobile Systeme 2007, 20th ed.
Kaiserslautern, DE: Springer, 2007.
[6] M. Quigley, B. Gerkey, K. Watts, and B. Gassend. (2016) Joy. Robot
Operating System ROS. [Online]. Available: http://wiki.ros.org/joy
[7] Videogameconsolelibrary. (2016) Xbox 360 con-
troller. Videogameconsolelibrary.com. [Online]. Available:
http://www.videogameconsolelibrary.com
60
Proceedings of the OAGM&ARW Joint Workshop
Vision, Automation and Robotics
- Titel
- Proceedings of the OAGM&ARW Joint Workshop
- Untertitel
- Vision, Automation and Robotics
- Autoren
- Peter M. Roth
- Markus Vincze
- Wilfried Kubinger
- Andreas Müller
- Bernhard Blaschitz
- Svorad Stolc
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Wien
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-524-9
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 188
- Schlagwörter
- Tagungsband
- Kategorien
- International
- Tagungsbände