2010 IEEE/RSJ International Conference on Intelligent Robots and Systems 2010
DOI: 10.1109/iros.2010.5652360
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Auto-tuning control of power assist system based on the estimation of operator's skill level for forward and backward driving of omni-directional wheelchair

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Cited by 12 publications
(2 citation statements)
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“…A bed-cum-wheelchair called "resyone" has recently been developed, which is unique in that a part of the bed can be removed as a wheelchair for transfer, but the task of detaching the wheelchair from the bed takes a significant amount of time. The author's group has developed a system in which a handle with a force sensor is attached to the rear of the bed, and the direction of the pushing force is used to determine the direction in which the user wants to go, and the speed of bed transportation is determined by the magnitude of the force, taking into account the habits of human operators and automatically controlled by AI (Figure 7) [24][25][26]. Omnidirectional wheels allow the machine to move instantly in any direction.…”
Section: Power-assisted Bedmentioning
confidence: 99%
“…A bed-cum-wheelchair called "resyone" has recently been developed, which is unique in that a part of the bed can be removed as a wheelchair for transfer, but the task of detaching the wheelchair from the bed takes a significant amount of time. The author's group has developed a system in which a handle with a force sensor is attached to the rear of the bed, and the direction of the pushing force is used to determine the direction in which the user wants to go, and the speed of bed transportation is determined by the magnitude of the force, taking into account the habits of human operators and automatically controlled by AI (Figure 7) [24][25][26]. Omnidirectional wheels allow the machine to move instantly in any direction.…”
Section: Power-assisted Bedmentioning
confidence: 99%
“…Advancements in computer vision provide the capabilities to support assistive navigation in real-time. In some research, vision cameras have been utilized for assistive navigation systems in several variants, including monocular [11], [12], stereo [13], fish-eye [14], omnidirectional [15] and RGB-D [16].…”
Section: Vision-based Indoor Assistive Navigationmentioning
confidence: 99%