scholarly journals Special issue "Sensor Fusion". Estimation of Contact Position Between Grasped Object and Environment Based on Sensor Fusion of Vision and Force.

1994 ◽  
Vol 12 (5) ◽  
pp. 677-684 ◽  
Author(s):  
Shigeyuki Sakane ◽  
Tomohiko Ishikawa ◽  
Tomomasa Sato
Keyword(s):  
Sensor Fusion ◽  
Special Issue ◽  
Contact Position

scholarly journals Special issue "Sensor Fusion". Sensor Fusion in Human.

1994 ◽  
Vol 12 (5) ◽  
pp. 656-663 ◽  
Author(s):  
Motoyuki Akamatsu ◽  
Takeshi Kasai
Keyword(s):  
Sensor Fusion ◽  
Special Issue

Special issue "Sensor Fusion". Hierarchical Sensory-Motor Fusion Model with Neural Networks.

1994 ◽  
Vol 12 (5) ◽  
pp. 685-694
Author(s):  
Shigemi Nagata ◽  
Daiki Masumoto ◽  
Hiroshi Yamakawa ◽  
Takashi Kimoto
Keyword(s):  
Neural Networks ◽  
Sensor Fusion ◽  
Special Issue ◽  
Fusion Model ◽  
Sensory Motor

Special issue on multi-camera and multi-modal sensor fusion

2010 ◽  
Vol 114 (6) ◽  
pp. 609-610
Author(s):  
Andrea Cavallaro ◽  
Hamid Aghajan
Keyword(s):  
Sensor Fusion ◽  
Special Issue

Special Issue on Spatial Information Sensing

1991 ◽  
Vol 3 (3) ◽  
pp. 135-135
Author(s):  
Masanori Idesawa ◽  
◽  
Editor
Keyword(s):  
Sensor Fusion ◽  
Information Acquisition ◽  
Spatial Information ◽  
Environmental Information ◽  
Sensor Data ◽  
Special Issue ◽  
Research Subjects ◽  
Visual Sensors ◽  
Sensing System ◽  
Spatial Information Acquisition

Humans are able to respond flexibly to changes in the environment -- grasping information of objects, environmental conditions and personal state -- via senses. As such, it is indispensable for an automatic machine such as a robot to be equipped with a sensing system corresponding to the human senses which permits flexible work in a 3-D environment. Acquisition of 3-dimensional environmental information is important in particular, and spatial information measures are regarded as indispensable for acquiring 3-D environmental information. The visual sense plays an important role for humans to acquire spatial information. Reflecting on this, R&D on visual sensors is underway vigorously in the field of robotics, and many expectations are focusing on an optical sensing system which permits the detection of spatial information from remote positions without any influences on the object. Meanwhile, humans do not plan behavior based fully on sensor information, but have papered fixed form behavior programs which are launched with information obtained from sensors or implemented with some modification in many cases. There are several modes of sensing in human: a monitoring mode which detects generation of extraordinal state, and which does not always concentrate attention on all sensors to acquire information; an attentive sensing mode in which men concentrate attention on related sensors when an extraordinary phenomena is detected; intentional mode in which men detect intentionally information necessary for work or behavior to be implemented, or detect, intentionally and as planned, information being short in behavior programs; and so on. It is effective for robots when possible to acquire information in the same mode as humans and to control it the same as human behavior. Sensor data integration and sensor fusion are also required for more accurate judgement, in which much information is integrated, in addition to knowledge already accumulated; when each piece of information in itself is not enough for accurate judgement, integrated information may permit better judgement. Further, model base sensing which refers to an environmental model and knowledge based sensing, and which refers to accumulated knowledge will be important research subjects. These will be followed by intentional sensing which intentionally acquires information necessary for achievement of objectives. Finally, introduction of the hierarchical behavior mode, which corresponds to the human monitoring and attentive modes, is indispensable for a robot. In this mode, a sensor system detects the object and extraordinary state in monitoring mode, then analyses and processes details of phenomena of particularly interest in attentive mode, and then detects and acquires information necessary for achievement of objectives with optimal resolution in intentional sensing mode. The special issue on spatial information sensing is a compilation of articles on some spatial information acquisition methods, visual sensors and positioning sensors for robots. Also, some proposals are presented for realizing multiple resolution sensing, sensor fusion and active sensing, centering on an optical spatial information acquisition method.

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