Titlebook: Next Wave in Robotics; 14th FIRA RoboWorld Tzuu-Hseng S. Li,Kuo-Yang Tu,Haw-Ching Yang Conference proceedings 2011 Springer-Verlag GmbH Be

金桌活畫面

谷物

An Adaptive Component Model for Autonomous Mobile Robots,t model, MiniROS. It provides data, signal and service port as inter-component interfaces so that developers can design complex robot behaviors with data-based, control-based or service-based paradigm. In addition, a strategy is introduced to allow member components of a robot to automatically adjus

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Toward Safe Human Robot Interaction: Integration of Compliance Control, an Anthropomorphic Hand and engineered by combining a robotic arm, equipped with a compliant controller, an anthropomorphic robot hand and a spoken language communication system. A simplified human-robot interaction scenario, based on a typical care robot situation, is exploited to show that safety can be enhanced by the moni

Flavouring

周年紀念日

Conflagration

A Versatile Kit for Teaching Intelligent Mobile Robots,aper. The kit is capable of solving micromouse mazes, line mazes, and following line tracks with different curvatures at different speed settings. It is first devised to be used in various project-oriented hands-on laboratory courses for students in the department of electronic engineering of Lunghw

Ancestor

A Novel Approach of Robust Active Compliance for Robot Fingers,ant. In this study, a novel active and robust compliant control technique is proposed by employing an Integral Sliding Mode Control (ISMC). The ISMC allows us to use a model reference approach for which a virtual mass-spring damper can be introduced to enable compliant control. The performance of th

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Facial Expression Generation Using Fuzzy Integral for Robotic Heads,epresented by a fuzzy measure which can effectively deal with ambiguity. Because facial expressions are usually ambiguous such that it is difficult to discern emotions and assign a sharp boundary to each emotion. In this method, users can adjust the personality of robot by assignign fuzzy measure to

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PANEL

Motion Recognition in Wearable Sensor System Using an Ensemble Artificial Neuro-Molecular System,n motions can be distinguished through classification algorithms for the wearable sensor system of two 3-axis accelerometers attached to both forearms. Raw data from the accelerometers are pre-processed and forwarded to the classification algorithm designed using the proposed ensemble artificial neu