Title
Mobile Bin Picking With An Anthropomorphic Service Robot
Abstract
Grasping individual objects from an unordered pile in a box has been investigated in static scenarios so far. In this paper, we demonstrate bin picking with an anthropomorphic mobile robot. To this end, we extend global navigation techniques by precise local alignment with a transport box. Objects are detected in range images using a shape primitive-based approach. Our approach learns object models from single scans and employs active perception to cope with severe occlusions. Grasps and arm motions are planned in an efficient local multiresolution height map. All components are integrated and evaluated in a bin picking and part delivery task.
Year
DOI
Venue
2013
10.1109/ICRA.2013.6630892
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
Keywords
Field
DocType
navigation,motion control,mobile robots,mobile communication,shape,planning
Robot control,Object detection,Computer vision,Motion control,Active perception,Smith–Waterman algorithm,Artificial intelligence,Engineering,Mobile robot navigation,Mobile robot,Service robot
Conference
Volume
Issue
ISSN
2013
1
1050-4729
Citations 
PageRank 
References 
12
0.64
11
Authors
8
Name
Order
Citations
PageRank
Matthias Nieuwenhuisen1818.92
David Droeschel229221.76
Dirk Holz336925.04
Jörg Stückler462446.80
Alexander Berner528310.59
Jun Li6120.64
Reinhard Klein7133797.71
Sven Behnke81672181.84