In this paper, we present the development of P-SURO II hybrid AUV (Autonomous Underwater Vehicle) which can be operated in both of AUV and ROV (Remotely Operated Vehicle) modes. In its AUV mode, the vehicle is suppose...
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In this paper, we propose a vision-based control system for the localization of an unmanned aerial vehicle (UAV) which equips on-board cameras. The proposed approach is combined a visual odometer with inertial measure...
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The robot's ability of perceiving their environments is primary functionality for a number of applications such as the rescue, navigation and manipulation. In these applications, the 3D colored map image is very u...
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Recently, robots have penetrated the education market. But the power train for commercializing the robots has not been prepared yet due to chasm between developers and customers. Thus, we present a tool for u-intellig...
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The purpose of this study is to develop sensor fusion loclization of autonomous mobile robot for outdoor environment. We merge 2 localization models;a Camera sensor with Particle filter and two GPS sensors with Kalman...
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Software architectures have been suggested for a non-industrial robot up to the present, however a few developer who working in the robot field are applying those to manufactured products. Such software architecture o...
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This paper describes the development of our 3D indoor positioning system, UPS(Ultrasonic Positioning System), for a flying robot. The system consists of three parts of nodes: a transmitter, several receivers, and a se...
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This paper describes the development of an indoor positioning system, presents the system performance and shows experimental results. The system consists of a transmitter node and several receive nodes, and each node ...
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This paper describes the development of an indoor positioning system, presents the system performance and shows experimental results. The system consists of a transmitter node and several receive nodes, and each node has an ultrasonic sensor and a RF device. The transmitter node is attached to a robot and the receiver nodes are fixed on a ceiling and a floor according to application. It estimates distance between the transmitter node and the receiver nodes. From these distance, we can find the robot's position in indoor environment. The data are applied to the kalman filter for robustness. We focus on small size, light weight, non-wire, portable, reasonable accuracy and high response time. To make robust localization system, high response time and accuracy is important than any other things, and there is tradeoff between the response time and accuracy. We find adjustable response time and accuracy to tracking and control robots. So, we apply for tracking and control system as a mobile and an aerial vehicle. Finally, the experimental results for the tracking of a mobile robot and an aerial vehicle robot will be shown.
We have developed robot head for human-robot emotional communication. Main factors of head for the communication are eye contact, facial expression and lip synchronization, which are designed based on the anatomy and ...
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We have developed robot head for human-robot emotional communication. Main factors of head for the communication are eye contact, facial expression and lip synchronization, which are designed based on the anatomy and behavior of human to get natural motion. To have a natural motion, we have investigated human behavior and designed control system and algorithm. After assessment of the system designed, we are going to have a robot head for emotional communication. It may be applied to the robot to come into our life in the future.
A multi-axial micro force measurement system that can detect contact information of micro-scaled object interactions is presented. An accurate measurement of forces in the range of milli or micro newtons becomes an es...
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