Young-Jo Cho - Academia.edu (original) (raw)

Young-Jo Cho

Uploads

Papers by Young-Jo Cho

Bookmarks Related papers MentionsView impact

ETRI Project Report, 2017

Bookmarks Related papers MentionsView impact

In this paper, we present design and implementation of PRSF (Proactive Robot Service Framework) w... more In this paper, we present design and implementation of PRSF (Proactive Robot Service Framework) which enables the home service robot to provide an adequate service for a user in a proactive manner. In recent years, the home service robot has been appeared and its usage has been highly evaluated. The proactiveness is one of the key aspects to make a robot seem to be intelligent and enhance its service capability. The proposed system employs situation-aware technology and probabilistic inference technique to provide the home service robot with an operational automaticity. That is, situations of services are aware by using outputs of sensor networks and RFID system and the decision of a service is made by the probabilistic inference technique using the Bayesian Networks. So that robots can automatically be aware of current situations, select a current-possible service, reason whether the service time is or not, and provide the service without user's command.

Bookmarks Related papers MentionsView impact

제어로봇시스템학회 논문지, Jun 1, 2014

Bookmarks Related papers MentionsView impact

제어로봇시스템학회 국제학술대회 논문집, Oct 1, 2002

Bookmarks Related papers MentionsView impact

정보 및 제어 심포지엄 논문집, Oct 1, 2010

The aim of this study was to develop the FSR sensor suits and multi-channel EMG system that contr... more The aim of this study was to develop the FSR sensor suits and multi-channel EMG system that control walking-support exoskeletons. The FSR sensor suits were to detect a user's intention by measuring resistor on the palms and walking states on the sales of a user's foot. It consisted of four modules: Watch sensor suit for mode selection, Glove sensor suit detecting resistor on the palm, Shoe-Insoles sensor suit sensing resistor from the sales of a user's foot, and Host module that transmit FSR data to Pc. The multichannel EMG system for controlling FES was the module with six channels composed of amplification, filtering, analysis, and transmission component. The Glove sensor suit could detect the walking intention by FSR signals and the walking states using the Shoe-Insoles sensor suit. The multi-channel EMG system could simultaneously detect the muscle contraction at six muscles and control FES.

Bookmarks Related papers MentionsView impact