Title
Experimental comparison of slip detection strategies by tactile sensing with the BioTac® on the DLR hand arm system
Abstract
Dexterous manipulation of everyday objects requires a precise tactile sense. Slip detection is mandatory to overcome uncertainty and compensate for external disturbances. We compare three different approaches for detecting slip. The methods are model-based slip detection via friction cones, vibration-based detection via bandpass filtering, and a common learning algorithm. They are implemented and tested on a tendon-driven two-finger setup equipped with two tactile BioTac® sensors. Several experiments are conducted to evaluate each approach. The characteristics of the methods are discussed and compared.
Year
DOI
Venue
2014
10.1109/ICRA.2014.6907252
international conference on robotics and automation
Keywords
Field
DocType
dexterous manipulators,slip,tactile sensors,vibration control,BioTac sensor,DLR hand arm system,bandpass filtering,common learning algorithm,dexterous manipulation,friction cones,slip detection strategy,tactile sensing,tendon-driven two-finger setup,vibration-based detection
Simulation,Slip (materials science),Control engineering,Engineering
Conference
Volume
Issue
ISSN
2014
1
1050-4729
Citations 
PageRank 
References 
6
0.51
9
Authors
4
Name
Order
Citations
PageRank
Jens Reinecke1233.33
Alexander Dietrich2797.35
Florian Schmidt326834.52
Maxime Chalon41258.92