Assessing grasp stability based on learning and haptic data

IEEE Transactions on Robotics

Volumn 27, Issue 3, 2011, Pages 616-629

  Bekiroglu, Yasemin ^a   Laaksonen, Janne ^b   Jørgensen, Jimmy Alison ^c   Kyrki, Ville ^b   Kragic, Danica ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

^c UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Force and tactile sensing; grasping; learning and adaptive systems

Indexed keywords

CLOSED-LOOP; GRASPING; JOINT CONFIGURATION; LEARNING AND ADAPTIVE SYSTEM; LEARNING APPROACH; MACHINE-LEARNING; OBJECT INFORMATION; ON-LINE ASSESSMENT; ON-LINE CONTROLS; PLANNING STAGES; PROBABILISTIC LEARNING; REALISTIC SCENARIO; SENSORY DATA; SENSORY INFORMATION; SENSORY KNOWLEDGE; TACTILE SENSING; TACTILE SENSORS;

ADAPTIVE BOOSTING; ADAPTIVE SYSTEMS; HIDDEN MARKOV MODELS; RATING; SUPPORT VECTOR MACHINES; UNCERTAINTY ANALYSIS;

STABILITY;

EID: 79958770754     PISSN: 15523098     EISSN: None     Source Type: Journal    
DOI: 10.1109/TRO.2011.2132870     Document Type: Article

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