Capturing robot workspace structure: representing robot capabilities

Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach and which are difficult to approach. Possessing a similar abstraction of a robot arm's capabilities in its workspace is...

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Bibliographic Details
Published in2007 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 3229 - 3236
Main Authors Zacharias, F., Borst, C., Hirzinger, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2007
Subjects
Design optimization
Humanoid robots
Humans
Intelligent robots
Kinematics
Layout
Manipulator dynamics
Robotic assembly
USA Councils
Visualization
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Summary:Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach and which are difficult to approach. Possessing a similar abstraction of a robot arm's capabilities in its workspace is important for grasp planners, path planners and task planners. In this paper, we show that robot arm capabilities manifest themselves as directional structures specific to workspace regions. We introduce a representation scheme that enables to visualize and inspect the directional structures. The directional structures are then captured in the form of a map, which we name the capability map. Using this capability map, a manipulator is able to deduce places that are easy to reach. Furthermore, a manipulator can either transport an object to a place where versatile manipulation is possible or a mobile manipulator or humanoid torso can position itself to enable optimal manipulation of an object.
ISBN:9781424409112
142440911X
ISSN:2153-0858
2153-0866
DOI:10.1109/IROS.2007.4399105