Humanoids learn object properties from robust tactile feature descriptors via multi-modal artificial skin

IEEE-RAS International Conference on Humanoid Robots

Volumn 2015-February, Issue , 2015, Pages 187-192

  Kaboli, Mohsen ^a   Mittendorfer, Philipp ^a   Hugel, Vincent ^b   Cheng, Gordon ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITÉ DE TOULON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ANTHROPOMORPHIC ROBOTS; ARTIFICIAL ORGANS; MAXIMUM PRINCIPLE; SUPPORT VECTOR MACHINES; TEXTURES;

3-AXIS ACCELEROMETER; EXPECTATION MAXIMIZATION; FEATURE DESCRIPTORS; HIGH-LEVEL INFORMATION; OBJECT PROPERTY; RECOGNITION MODELS; SURFACE TEXTURES; VIBRATION SIGNAL;

LEARNING ALGORITHMS;

EID: 84945196308     PISSN: 21640572     EISSN: 21640580     Source Type: Conference Proceeding    
DOI: 10.1109/HUMANOIDS.2014.7041358     Document Type: Conference Paper

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