Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
We are studying and developing automatic wheelchair robot DREAM-3 for the purpose of burden reduction for caregivers and independent support of a senior citizen and the person with disabilities. Several sensor systems for environment recognition are equipped with DREAM-3, and the traveling environment is recognized using the sensor systems. The environmental information obtained from this sensor system beforehand, is drawn on the environment map. Based on the environment map, the behavior choice is performed using the fuzzy inference. In this paper, semi-automatic wheelchair robot DREAM-4 with a learning function is proposed. A driver operates DREAM-4 by a joystick. And when the wheelchair meets with obstacles and senses danger, it travels slowly and avoids obstacles automatically. And DREAM-4 is to learn according to the operational feature of the driver, so that to make the steering easy.
