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6. Conclusion
In thispaperanautonomousorderpickingsystemwaspresented. Inorder tokeepthesystemmodular
and portable a 3-TIER architecture was developed. The planning layer utilized an AI planner, which
uses a PDDL description of the planning problem. The planner received the description of system
skills, as well as start and goal state and provided a list of planned skills. Each skill is composed
of skill primitives. These skill primitives are needed to address manipulation of the box, grasping
items and perceptual tasks. The decomposition of skills into primitives enriched with monitoring
and recovering capabilities contribute to the dependability of the system. The proposed system was
implementedas aprototypeusing the robotBaxter andstandard robotics software libraries.
Using this prototype implementation the concept of the skill primitives was evaluated. Although
mostprimitivesworkedquitewell, theevaluationpointedoutsomeproblemsof thisproof-of-concept
system. Within most primitives, the major problem was that the execution of planned trajectories
was aborted because Baxter was not able to execute them precisely enough. However these errors
weredetectedbyoursystemandreported to thehigh-levelcontroller. For futureworkamorereliable
executionof armmotions byBaxterneeds tobeaddressed.
References
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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