ere are numerous applications for mobile robots that require relatively high levels of speed and precision. For many systems, these two properties are a tradeoff, as oentimes increasing the movement speed can mean failing to detect some sensors. is research attempts to create a useful and practical system by combining a wireless sensor network with a passive radio frequency identi�cation system. e sensor network provides fast general navigation in open areas and the radio frequency identi�cation system provides precision navigation near static obstacles. By fusing the data from both systems, we are able to provide fast and accurate navigation for a mobile robot. Additionally, with WSN nodes and passive RFID tag mats, the system infrastructure can be easily installed in existing environments.
[abstFig src='/00280006/05.jpg' width='300' text='The headset type intraoral interface' ] An extra degree of freedom to human body movement could assist people in a variety of tasks. To this end, we have previously proposed a human-ability extension system through a supernumerary limb. The system comprises of a manipulator that acts as a third arm, a feedback device that displays its status, and an interface that allows for its hands-free operation. Herein, we present this novel, intraoral interface that utilizes tongue motions and expiratory pressure. In contrast to the conventional intraoral interfaces that suffer from a lack of degrees of freedom and stability, our advanced interface is equipped with inertial measurement units and a pressure sensor to solve these problems without sacrificing the ease of use. The proposed interface is utile not only in our ongoing “Third Arm” project, but also in various other applications. We conclude with experimental evaluation of the system’s usability and its efficacy for human-ability extension systems.
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