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A multi-step Gaussian filtering approach to reduce the effect of non-Gaussian distribution in aerial localization of an RF source in NLOS condition

A multi-step Gaussian filtering approach to reduce the effec...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyyed M. Mehdi Dehghan Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

The hybrid localization using Angle of Arrival (AOA) and Received Strength Signal Indicator (RSSI) of an RF source, such as a cell phone in a search and rescue mission, with unknown power and None Line Of Sight (NLOS) condition have been proven to be advantageous compared to using each method separately. The hybrid approach has been proposed to benefit from both RSSI and AOA measurements. In this paper, the initial hybrid method, which was implemented using particle filters due to the multi-modal/non-Gaussian nature of localization in NLOS condition, has been replaced by a multi-step Gaussian filtering approach which provides nearly similar accuracy with better performance. The proposed method has been implemented using extended Kalman filter and Unscented Kalman filter. The simulation results show that the multi-step Gaussian filtering is comparable to particle filter in all cases with better performance. For further evaluation, the effects of uncertainty in the propagation parameters have been studied to show the robustness of each filter to these uncertainties.

关键词： Shadow mapping Atmospheric measurements Particle measurements Scattering Measurement uncertainty Particle filters Equations

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Robust trajectory tracking control of a quadrotor UAV

Robust trajectory tracking control of a quadrotor UAV

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International Conference on systems and control (ICSC)

作者： Karima Benzaid Noura Mansouri Ouiddad Labbani-Igbida Laboratory of Automatic Control and Robotics Constantinel University Constantine Algeria Modeling Information & Systems lab. University of Picardie Jules Verne Amiens France

In this paper, we present two control strategies of a quadrotor Unmanned Aerial Vehicle (UAV). The dynamics of the system is controlled to achieve a complex trajectory tracking. A controller using the integral backstepping is developed for the stabilization of the six degrees of freedom (6DoF) of the system. Furthermore, we propose a hybrid strategy by combining the integral backstepping and the PID linear controller. For this, we divide the dynamic system into two subsystems; each one with 3DoF. For the stabilization of the rotational dynamics, the PID controller is proposed. The Integral Backstepping is applied for the longitudinal, lateral and vertical position stabilization. Finally, some numerical simulations are conducted to illustrate the robustness of both strategies.

关键词： Backstepping Trajectory Vehicle dynamics Mathematical model Algorithm design and analysis Rotors Lyapunov methods

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The CPG Gait Generate Method of the Quadruped Robot Based on Iterative Learning control Algorithm

The CPG Gait Generate Method of the Quadruped Robot Based on...

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The Second International Conference on Micro Nano Devices,Structure and Computing systems(MNDSCS 2013)

作者： WANG Cheng GAO Junyao DUAN Xingguang LIU Yi LI Xin XU Zhe SUN Wentao Intelligent Robotics Institute Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Key Laboratory of Intelligent control and decision of complex systems' School of Mechatronical Engineering Beijing Institute of Technology

Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped robot, completes the prototype design of the quadruped robot based on hydraulic power system. The second part studies the CPG gait generate method of the quadruped robot based on iterative learning control algorithm. From the principle of bionics, firstly, we use the CPG principle to generate gait, and then use the iterative learning control theory to make the control more optimization.

关键词： Quadruped bionic robot the walking gait CPG the repeated iterative learning

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Mechanical Design of the Legs of Hydraulically Actuated Quadruped Bionic Robot

Mechanical Design of the Legs of Hydraulically Actuated Quad...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Xin Li Wentao Sun Junyao Gao Xingguang Duan Qiang Huang Hui Li Huaxin Liu Wenxue Zhao Zhe Xu Yi Liu Intelligent Robotics Institute State Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent control and decision of complex systems School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9781467329705

This paper discusses the design of the mechanical structure of a quadruped robot and a three-dimensional simulation model is built under Adams simulating the mechanism's motion to capture the dynamic characteristics of the quadruped *** paper analyses the effect of the length of legs on the walking structure from different aspects: its movement speed,capability of climbing obstacles and the workspace of its foot *** addition,to achieve the optimization target of balancing the output force of each hydraulic cylinder,the paper establishes a mathematical model under required constraints working out the lever members that accommodated with the *** all these factors,the most satisfied structural parameters of the autonomous quadruped robot are selected.

关键词： hydraulic quadruped robot the output force of the hydraulic cylinder structural parameters

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Trot Pattern Generation for Quadruped Robot Based on the ZMP Stability Margin

Trot Pattern Generation for Quadruped Robot Based on the ZMP...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Si Zhang Yi Liu Zhe Xu Junyao Gao Xingguang Duan Hui Li Zhangguo Yu Xuechao Chen Jing Li Huaxin Liu Xin LI Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9781467329705

Quadruped robot is expected to serve in complex conditions such as mountain road,grassland,etc.,therefore we desire a walking pattern generation that can guarantee both the speed and the stability of the quadruped *** order to solve this problem,this paper focuses on the stability for the tort pattern and proposes trot pattern generation for quadruped robot on the basis of ZMP stability *** foot trajectory is first designed based on the work space *** the ZMP and stability margin is computed to achieve the optimal trajectory of the midpoint of the hip joint of the *** angles of each joint are finally obtained through the inverse kinematics ***,the effectiveness of the proposed method is demonstrated by the results from the simulation and the experiment on the quadruped robot in BIT.

关键词： Quadruped robot ZMP stability margin Trot pattern

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Dynamical Balance Optimization and control of Quadruped Robots Under Perturbing External Force

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IFAC Proceedings Volumes 2013年第20期46卷 199-205页

作者： Zhijun Li Sijia Yu Sibang Liu Key Laboratory of Autonomous Systems and Networked Control Ministry of Education College of Automation Science and Engineering South China University of Technology Guangzhou China The Robotics Institute and School of Mechanical Engineering University of Electronic Science and Technology of China Chengdu China 610054 The Robotics Institute and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China 610054

This paper investigates the optimal feet forces distribution and control of quadruped robots under external disturbance forces. First, we formulate a constrained dynamic model of quadruped robots and derive a reduced order dynamical model of motion/force. Consider an external wrench on quadruped robots, the distribution of required forces and moments on the supporting legs of a quadruped robot is handled as a tip-point force distribution and used to equilibrate the external wrench. Then, a gradient neural network is adopted to minimize the optimized objective function with linear equality and inequality constraints, and hybrid motion/force control based on adaptive neural network is used to compensate for the external perturbation in the environment and approximate feedforward force and impedance of the leg joints on line. The verification of the proposed control is conducted using the extensive simulations.

关键词： quadruped robot forces distribution external wrench motion/force control

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Adaptive visual servoing using common image features with unknown geometric parameters

Adaptive visual servoing using common image features with un...

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作者： Liu, Yun-Hui Wang, Hesheng Chen, Weidong Zhou, Dongxiang Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China State Key Laboratory of Robotics Technology and System Harbin Institute of Technology Harbin 150001 China Joint Center for Intelligent Sensing and Systems National University of Defense Technology China

This paper generalizes the concept of the depth-independent interaction matrix, developed for point and line features in our early work, to generalized image features. We derive the conditions under which the depth-independent interaction matrix can be linearly parameterized by the geometric parameters of the generalized image features, and propose an adaptive visual servo controller for robot manipulators using the generalized image features whose geometric parameters are unknown. To estimate the unknown parameters on-line, we propose new error functions that are linear to estimation errors of the parameters and an algorithm that minimizes the error functions using multiple images. The Lyapunov theory is used to prove asymptotic stability of the proposed controller based on the nonlinear dynamics of the manipulator. It is also shown that in addition to points and lines, other common image features like distances, angles, areas, and centroids all satisfy the conditions for the linear parameterization. Experiments have been conducted to validate the proposed control method. © 2013 Elsevier Ltd. All rights reserved.

关键词： controllers

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Quantifying anthropomorphism of robot hands

Quantifying anthropomorphism of robot hands

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IEEE International Conference on robotics and Automation (ICRA)

作者： Minas V. Liarokapis Panagiotis K. Artemiadis Kostas J. Kyriakopoulos Control Systems Laboratory School of Mechanical Engineering National Technical University of Athens Athens Greece ASU Human-Oriented Robotics and Control (HORC) Laboratory School for Engineering of Matter Transport andEnergy Ira A. Fulton Schools of Engineering Arizona State University Tempe AZ USA

ISBN: (纸本)9781467356404

In this paper a comparative analysis between the human and three robotic hands is conducted. A series of metrics are introduced to quantify anthropomorphism and assess robot's ability to mimic the human hand. In order to quantify anthropomorphism we choose to compare human and robot hands in two different levels: comparing finger phalanges workspaces and comparing workspaces of the fingers base frames. The final score of anthropomorphism uses a set of weighting factors that can be adjusted according to the specifications of each study, providing always a normalized score between 0 (non-anthropomorphic) and 1 (human-identical). The proposed methodology can be used in order to grade the human-likeness of existing and new robotic hands, as well as to provide specifications for the design of the next generation of anthropomorphic hands. Those hands can be used for human robot interaction applications, humanoids or even prostheses.

关键词： Robots Anthropomorphism Thumb Indexes Kinematics Joints

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Underwater Target Positioning with a Single Acoustic Sensor

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IFAC Proceedings Volumes 2013年第33期46卷 233-238页

作者： D. Moreno-Salinas A.M. Pascoal J. Aranda Department of Computer Science and Automatic Control National University Distance Education (UNED) Spain Laboratory of Robotics and Systems in Engineering and Science (LARSyS) Instituto Superior Tecnico (IST) University of Lisbon Portugal Adjunct Scientist National Institute of Oceanography (NIO) Goa India

The availability of reliable underwater positioning systems to localize one or more vehicles simultaneously based on information received on-board a support ship or an autonomous surface vessel is key to the operation of some classes of AUVs. Furthermore, there is considerable interest in reducing the number of sensors involved in acoustic navigation/positioning systems to reduce the costs involved and the time consumed in the deployment, callibration, and recovery phases. Motivated by these considerations, in this paper we address the problem of single underwater target positioning based on measurements of the ranges between the target and a moving sensor at the sea surface, obtained via acoustic ranging devices. In particular, and speaking in loose terms, we are interested in determining the optimal geometric trajectory of the surface sensor that will, in a well defined sense, maximize the range-related information available for underwater target positioning. To this effect, an appropriate Fisher Information Matrix is defined and its determinant is maximized to yield the sensor trajectory that maximizes the accuracy of the target position estimate that can possibly be obtained with any unbiased estimator. It is shown that the optimal trajectory depends on the relative velocity of the sensor, the sampling time between measurements, and the number of measurements acquired for the FIM computation. Simulation examples illustrate the key results derived.

关键词： Autonomous Vehicles Underwater Navigation Optimal Sensor Placement Positioning Fisher Information Matrix Cramer-Rao Bound

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Using general sound descriptors for early autism detection

Using general sound descriptors for early autism detection

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Asian control Conference

作者： Seyyed Hamid R. Ebrahimi Motlagh Hadi Moradi Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran ARIS and CIPCE School of ECE College of Engineering University of Tehran Iran Shahid Beheshti University Tehran Tehran IR

ISBN: (纸本)9781467357661

Early detection of autism is crucial for successfully dealing with it and reduce/eliminate its effects. In other words, early treatment can make a big difference in the lives of many children with this disorder. Consequently, in this study the pattern recognition algorithms are used to determine the unique features of the voice of autistic children to distinguish between the autistic children and normal children between ages 2 and 3. These descriptors extract various audio features such as temporal features, energy features, harmonic features, perceptual and spectral features. Two feature selection methods are used and the results are compared. One method is based on comparing the effect of using all of a group features together and another method compares the effect of using features one by one. The selected features are used to classify selected children into autistic and non-autistic ones. The results show 96.17 percent accuracy. After feature selection, we classified data using S.V.M classifier for recognizing two types of input data.

关键词： Autism Feature extraction Mel frequency cepstral coefficient Educational institutions Harmonic analysis Accuracy Motion pictures

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