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Neural Netw ; 21(4): 621-7, 2008 May.
Article in English | MEDLINE | ID: mdl-18555957

ABSTRACT

This paper describes mechanisms used by humans to stand on moving platforms, such as a bus or ship, and to combine body orientation and motion information from multiple sensors including vision, vestibular, and proprioception. A simple mechanism, sensory re-weighting, has been proposed to explain how human subjects learn to reduce the effects of inconsistent sensors on balance. Our goal is to replicate this robust balance behavior in bipedal robots. We review results exploring sensory re-weighting in humans and describe implementations of sensory re-weighting in simulation and on a robot.


Subject(s)
Adaptation, Physiological/physiology , Leg/physiology , Postural Balance/physiology , Psychomotor Performance/physiology , Robotics/methods , Sensation/physiology , Artificial Intelligence , Humans , Leg/innervation , Muscle, Skeletal/innervation , Muscle, Skeletal/physiology , Neural Networks, Computer , Orientation/physiology , Proprioception/physiology , Robotics/trends , Space Perception/physiology , Vestibule, Labyrinth/physiology , Visual Perception/physiology
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