Improving robustness of robotic grasping by fusing multi-sensor

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Volumn , Issue , 2012, Pages 126-131

  Zhang, Jun ^a,b,c,d   Song, Caixia ^a   Hu, Ying ^a,c,d   Yu, Bin ^e  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d Guangdong Provincial Key Laboratory of Robotics and Intelligent System   (China)

^e Johnson Elextric ^*  (China)

Author keywords

Binocular camera; Robot grasping; Tactile sensor

Indexed keywords

BINOCULAR VISION; BINOCULARS; CAMERAS; END EFFECTORS; FUZZY NEURAL NETWORKS; INFRARED DETECTORS; INTELLIGENT SYSTEMS; OBJECT RECOGNITION; ROBOT LEARNING;

BINOCULAR CAMERA; GRASPING STABILITY; LIGHTING CONDITIONS; OBJECT LOCALIZATION; POSITION INFORMATION; REAL-TIME FEEDBACK; ROBOT GRASPING; TACTILE SENSORS;

STEREO IMAGE PROCESSING;

EID: 84870578729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MFI.2012.6343002     Document Type: Conference Paper

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