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The robot, that can detect the explosives and can communicate with its base station by using the 3G Technology to broadcast the live movement of robot, this 3G technology provides here the fast communication and helps in the portable design. In the other hand, the explosives which have to be detected through the a) Microwave Sensor, b) Nuclear based sensor, which will be done by the propagation of...
In the near future robots will be used in home environments to provide assistance for the elderly and challenged people. The arrangement of sensors influences greatly the quality of information provided to the robot. We, therefore, examine the problem of the optimal arrangement of vision sensors for the case of a robot following a pre-defined path. A methodology to evaluate the arrangement of sensors...
The angular vestibulo-ocular and opto-kinetic reflexes (aVOR and OKR) combine to provide compensation for head rotations in space to help maintain a steady image on the retina. We previously implemented an artificial angular vestibulo-ocular reflex with a fully articulated binocular control system in a quadruped robot head. In this paper, we describe the implementation of artificial opto-kinetic and...
In this paper, it is presented the development of an innovative and low-cost robotic mobile system to be employed in inspection of underground electrical distribution lines and pipes. The system is composed of a robot with different sensors (infrared, acoustic, and FEF) which permit to move inside pipes and detect overheated points, partial electrical discharges and the occurrence of cable treeing...
The paper describes progress achieved in our long-term research project ShopBot, which aims at the development of an intelligent and interactive mobile shopping assistant for everyday use in shopping centers or home improvement stores. It is focusing on recent progress concerning two important methodological aspects: (i) the on-line building of maps of the operation area by means of advanced Rao-Blackwellized...
This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning module and a feature extraction module. Recurrent Neural Network with Parametric Bias (RNNPB) is utilized for the dynamics learning module, learning and self-organizing the sequences of robot and object motions. A hierarchical...
This paper presents external vision-force control and force-tactile integration in three different examples of multisensor integration for robotic manipulation and execution of everyday tasks, based on a general framework, presented in [1], that enables sensor-based compliant physical interaction of the robot with the environment. The first experiment is a door opening task where a mobile manipulator...
Mapping and localization play important roles for autonomous mobile robots. Since most of the conventional mapping methods assume static environment, the obtained map lacks reliability of localization when the assumption does not hold in the real environment. Additionally, when a robot wants to do some tasks (such as, open doors, push cabinets, etc.) during SLAM process, the robot need localize the...
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