This paper presents a novel method for asynchronous multisensor information fusion (AMIF), which is real-time, model free and can provide the capability of reconfiguring sensors. The method is motivated by the idea th...
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The Internet-based robot is a popular topic in robot control research recently. A platform build to provide information for robot can increase its intelligence and performance of teleoperation greatly. This paper impl...
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The objective of this paper is to propose a locomotion control method for humanoid robot to realize stable walking, which consisting of optimal joint generation and feedback error compensation. Using energy consumptio...
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In this paper a new method that incorporates moment-based shape information into geometric active contours is presented. As any shape may theoretically be characterized by its set of moments, the shape prior is repres...
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This paper presents a general gaze control algorithm for humanoid robot head. Gaze control is an essential visual behavior for human-robot interaction. Calculation of the distance to fixation point is a first step to ...
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An image-based visual servoing control scheme is proposed for regulating the position and orientation of the nonholonomic mobile robot simultaneously based on an imprecisely calibrated camera. The proposed method only...
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Teleoperated networked robot often has unpredictable behaviors due to uncertain time delay in data transmission over Internet. This paper investigates a novel approach to compensate the uncertain time delay with the a...
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In terms of visual feedback, the process of visual servoing could be characterized by the changes of the visual features. The concept of feature completeness for visual servoing is introduced. If there exists a featur...
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The objective of this paper is to present an online trajectory tracking based on model predictive control for service robot. The key point of model predictive control (MPC) algorithm is to consider an on-line optimiza...
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The monitoring of industrial environmental gas quality becomes an increasingly important topic due to its significant impact on the health of the producers and the safety of the production ***,there are two main appro...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The monitoring of industrial environmental gas quality becomes an increasingly important topic due to its significant impact on the health of the producers and the safety of the production ***,there are two main approaches to this task:first,using mobile robots equipped with sensors to patrol and monitor the environment,the prediction accuracy of this method is relatively poor;second,using a sensor network distributed in the environment for a long term monitoring,however this method lefts spatial relations and non-detection areas *** solve the above problems,this paper proposes a method combining the spatial map constructed by the mobile robot with fixed monitoring *** this method,the concentration of gas is collected by a fixed gas sensor and predicted by a deep neural *** the same time,a mobile robot equipped with lidar and a gas sensor is used to model the spatial construction of the environment as well as verify the *** embedding the predicted concentration map with the spatial map,a gas concentration map with high accuracy and spatial information is *** using anhydrous ethanol odor sources in a closed and windless room showed high prediction accuracy(98%) with this method.
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