Indoor localization is essential technology in service robot market. To localize the position of robot, laser scanner is widely used. But it has limit that laser scanner has probability return unexpected data when the...
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ISBN:
(纸本)9781467322478
Indoor localization is essential technology in service robot market. To localize the position of robot, laser scanner is widely used. But it has limit that laser scanner has probability return unexpected data when the space that the robot operate is too crowded. In this dynamic environment, the robot needs another sensor to complement weakness of laser scanner. This paper proposes vision sensor for complement sensor. But previous works that use vision sensor need many computational tasks. So this paper proposes the way to uses vision marker. This method makes the robot executing localization with efficiency. This algorithm applied on the robot platform and experiment show this algorithm is valid in dynamic and static environment.
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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This paper presents a novel method for natural changing of emotional expression. Although formal behavior generation method using the simulated annealing algorithm selects various behaviors, there are weak correlation...
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A position tracking and flatness controller with disturbance observer (DOB) is proposed in hydraulic servo systems (HSSs). In this paper, we assume that the disturbance is a biased sinusoidal signal with unknown frequ...
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In brain signals analysis, there are the supplementary devices such as EEG, fNIRS, MEG, fMRI, PET, etc. EEG is a popular secondary device due to the advantages of easy usability, mobility and low-cost. Many researcher...
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ISBN:
(纸本)9781424492909
In brain signals analysis, there are the supplementary devices such as EEG, fNIRS, MEG, fMRI, PET, etc. EEG is a popular secondary device due to the advantages of easy usability, mobility and low-cost. Many researchers have employed a Discrete Wavelet Transform (DWT) to classify EEG signals and make a clustering of the signal in brain-computer interface and medicine diagnosis. The precision of classification and clustering for EEG analysis depend on a mother wavelet. In order to improve the precision, the previous works has taken a hand-selection method to find out the best mother wavelet after simulation. It is necessary to improve the tested precision because the best mother wavelets for the acquired EEG signals are different depending on the subjects. In this paper, we suggest a novel approach which can select the best mother wavelets for DWT-based analysis in time-series sequences of EEG signals. To show the efficiency of the proposed method, we utilized a clustering method which can separate unsupervised EEG signals into the groups such as the ADHD (Attention Deficit Hyper-activity Disorder), the normal children, and the children in the boundary between ADHD and Normal children. As a result of simulation, we confirmed that the novel method improved the precision about 15% more than the previous.
In this paper, we present an impedance control method for electro hydraulic servo systems (EHSSs). The definition of impedance is a transfer function from external force to velocity error. By the proposed method, the ...
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In this paper, we present an impedance control method for electro hydraulic servo systems (EHSSs). The definition of impedance is a transfer function from external force to velocity error. By the proposed method, the transfer function from external force to velocity error becomes the desired transfer function. And we calculate the steady-state position and velocity error. Simulation results validate the effectiveness of proposed method and the steady-state position and velocity error.
We propose an algorithm used to obtain the information on stride length, height difference, and direction based on user's intent during walking. For exoskeleton robots used to assist paraplegic patients' walki...
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We propose an algorithm used to obtain the information on stride length, height difference, and direction based on user's intent during walking. For exoskeleton robots used to assist paraplegic patients' walking, this information is used to generate gait patterns by themselves in on-line. To obtain this information, we attach an inertial measurement unit(IMU) on crutches and apply an extended kalman filter-based error correction method to reduce the phenomena of drift due to bias of the IMU. The proposed method is verifed in real walking scenarios including walking, climbing up-stairs, and changing direction of walking with normal.
A force sensor using strain gauges is widely used in many mechanical measuring systems. A method of measuring force and contact point using two gauges is available although it rather limited to extension of micro scal...
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In this work, a study on improving traversability of a quadruped robot in a 3D rough terrain is presented. The interaction between the robot and the terrain is analyzed. The analysis shows that the traversability of t...
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We present a high gain observer-based nonlinear position control for electro-hydraulic servo systems. We design passivity based control for improve tracking performance. The passivity based control needs the full stat...
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