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

作者： M. Parsapour S. RayatDoost H. D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICEE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran

This paper presents a nonlinear controller for visual servoing system. Pose estimation is one of the fundamental issues in position-based visual servoing (PBVS) approach. A few researches have focused on controller synthesis under modeling uncertainty and measurement noise of estimated position. In this research, PD-type sliding surface is designed for tracking target. The control signal is obtained from the sliding surface and the stability of the algorithm is verified by Lyapunov theory. Moreover, a recent designed robust estimator based on unscented Kalman observer (UKO) cascading with Kalman filter (KF) is used to estimate the pose, velocity and acceleration of the target. The combination of the implemented estimator and the proposed controller provide a stable and robust structure in PBVS. The reported experimental results, verify the effectiveness of the proposed method in an industrial visual servoing system.

关键词： Estimation Measurement uncertainty Robustness Visualization Service robots Positron emission tomography

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Unsupervised 3D object classification from range image data by algorithmic information theory

Unsupervised 3D object classification from range image data ...

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

作者： Alireza Norouzzadeh Ravari Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran

The problem of unsupervised classification of 3D objects from depth information is investigated in this paper. The range images are represented efficiently as sensor observations. Considering the high-dimensionality of 3D object classification, little attention has been paid to the curse of dimensionality in the existing state-of-the-art algorithms. In order to remedy this problem, a low-dimensional representation is defined here. The sparse model of every range image is constructed from a parametric dictionary. Employing the algorithmic information theory, a universal normalized metric is used for comparison of Kolmogorov complexity based representations of sparse models. Finally, most similar objects are grouped together. Experimental results show efficiency and accuracy of the proposed method in comparison to a recently proposed method.

关键词： Dictionaries Accuracy

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Robust PID control of cable-driven robots with elastic cables

Robust PID control of cable-driven robots with elastic cable...

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

作者： Mohammad A. Khosravi Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran

In this paper robust PID control of fully-constrained cable-driven robots with elastic cables is studied in detail. To develop the idea, a robust PID control for cable-driven robots with ideal rigid cables is firstly designed and then, this controller is extended for the robots with elastic cables. To overcome vibrations caused by inevitable elasticity of cables, a composite control law is proposed based on singular perturbation theory. The proposed control algorithm includes robust PID control for corresponding rigid model and a corrective term. Using the proposed control algorithm the dynamics of the cable-driven robot is divided into slow and fast subsystems. Then, based on the results of singular perturbation theory, stability analysis of the total system is performed. Finally, the effectiveness of the proposed control law is investigated through several simulations on a planar cable-driven robot.

关键词： Robustness Robots Linear matrix inequalities

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A positive tensions PID controller for a planar cable robot: An experimental study

A positive tensions PID controller for a planar cable robot:...

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

作者： Mohammad A. Khosravi Hamid D. Taghirad Reza Oftadeh Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran Intelligent Hydraulics and Automation Department (lHA) Tampere University of Technology Finland

In this paper design and control of planar cable-driven parallel robots are studied in an experimental prospective. Since in this class of manipulators, cable tensionability conditions must be met, feedback control of such robots becomes more challenging than for conventional robots. To meet these conditions, internal force control structure is introduced and used in addition to a PID control scheme to ensure that all cables remain in tension. A robust PID controller is proposed for partial knowledge of the robot, to keep the tracking errors bounded. Finally, the effectiveness of the proposed control algorithm is examined through experiments on K.N. Toosi planar cable-driven robot and it is shown that the proposed control structure is able to provide suitable performance in practice.

关键词： PD control Assembly Logic gates Servomotors Force

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Potential Function Based Multi-Agent Formation control in 3D Space

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IFAC Proceedings Volumes 2012年第22期45卷 682-689页

作者： Marko Bunic Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering LARICS–Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia

This paper presents the extension of the previously proposed method for multi-agent formation control based on potential function. The method derived for 2D space is extended to 3D. It has been shown that the control algorithm keeps all the properties of the original scheme in case of multi-agent formation moving in 3D. An adaptation mechanism that assures avoidance of unwanted stable equilibria, used in 2D, is implemented in the same form for 3D formations. The obtained simulation results demonstrate stable behavior of the system for various sets of parameters - the desired 3D formation is reached in finite time and maintained during trajectory execution.

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Stochastic search strategies in 2D using agents with limited perception

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IFAC Proceedings Volumes 2012年第22期45卷 650-654页

作者： David Puljiz Maja Varga Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering LARICS–Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia Laboratory of Intelligent Systems Ecole Polytechnique Federale de Lausanne 1015 Lausanne Switzerland

Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rather limited, search strategies are usually simplistic and stochastic. And yet such simple search strategies result in high efficiency in finding potential targets in limited time intervals. Similar problems with perception of the environment and limited computational power and sensory inputs are observed on the mobile robots used in search scenarios. In spite of their limitations, such robotic systems usually perform deterministic search strategies which heavily depend on environmental cues and sensory input. The research question we are addressing in this paper is which stochastic search strategy has the best performance in terms of area coverage and can stochastic search strategies outperform deterministic search strategies.

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Modeling, Simulation and control of a Spincopter

Modeling, Simulation and Control of a Spincopter

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2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： M. Orsag S. Bogdan T. Haus M. Bunic A. Krnjak Laboratory for Robotics and Intelligent Control Systems - LARICS Dept. of Control and Computer EngineeringFaculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia

In this article we present a mathematical model of a spincopter -an inherently stable and easy to control unmanned aerial vehicle (UAV). Although the devised model represents only the first approximation of spincopter's physics, it captures basic phenomena that are sufficient for derivation and testing of a simple control algorithm. Results obtained by simulations in Simulink presented herein, demonstrate efficient performance of the proposed simple controller structure. Further tests, including investigation of complex aerodynamics effects and hardware-specified limitations, have been done using X-Plan software package. Finally, the proposed controller has been tested experimentally. Both, Xplane and experimental results confirmed the outcome from Simulink.

关键词： Aircraft Mathematical model Engines Propellers Force Atmospheric modeling

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Modified Banker's algorithm for scheduling in multi-AGV systems

Modified Banker's algorithm for scheduling in multi-AGV syst...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Luka Kalinovcic Tamara Petrovic Stjepan Bogdan Vedran Bobanac Laboratory for Robotics and Intelligent Control Systems Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Laboratory for Renewable Energy Sources Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

In today's highly complex multi-AGV systems key research objective is finding a scheduling and routing policy that avoids deadlock while assuring that vehicle utilization is as high as possible. It is well known that finding such an optimal policy is a NP-hard task in general case. Therefore, big part of the research is oriented towards finding various suboptimal policies that can be applied to real world plants. In this paper we propose modified Banker's algorithm for scheduling in multi-AGV systems. A predetermined mission's path is executed in a way that some non-safe states are allowed in order to achieve better utilization of vehicles. A graph-based method of polynomial complexity for verification of these states is given. Algorithm is tested on a layout of a real plant for packing and warehousing palettes. Results shown at the end of the paper demonstrate advantages of the proposed method compared with other methods based on Banker's algorithm.

关键词： Vehicles System recovery Layout Resource management Job shop scheduling Workstations

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Improved vertex control for time-varying and uncertain linear discrete-time systems with control and state constraints

Improved vertex control for time-varying and uncertain linea...

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2011 American control Conference (ACC)

作者： H.N. Nguyen P.-O. Gutman S. Olaru M. Hovd F. Colledani Automatic Control Department SUPELEC Systems Sciences (E3S) Gif sur Yvette France Faculty of Civil and Environmental Engineering Technion Israel Institute of Technology Israel Norwegian University of Science and Technology Norway LIST Interactive Robotics Laboratory CEA Fontenay-aux-Roses France

This paper addresses the problem of regulating a discrete-time linear uncertain and time-varying system to the origin. It is shown that, based on an interpolation technique, by minimizing an appropriate objective function, how feasibility and a robustly and asymptotically stable closed-loop behavior can be achieved. It is shown that the control is a piecewise affine and continuous function of the state. Several simulations demonstrate the performance of our results.

关键词： Interpolation Trajectory Robustness Linear programming Lyapunov methods Closed loop systems

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Iterative-analytic redundancy resolution scheme for a cable-driven redundant parallel manipulator

Iterative-analytic redundancy resolution scheme for a cable-...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Yousef B. Bedoustani Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Department of Systems and Control Faculty of Electrical and Computer Engineering Khaje Nasir Toosi University of Technology Tehran Iran

In this paper, redundancy resolution of a cable-driven parallel manipulator is solved by an iterative-analytic scheme. The method can be applied to all kind of redundant manipulators either parallel or serial with constraint caused through their dynamics. However, for sake of simulation the proposed method is implemented on a cable-driven redundant parallel manipulator (CDRPM). The redundancy resolution problem is formulated as a convex optimization with equality and non-equality constraints caused by manipulator structure and cables dynamics. Karush-Kuhn-Tucker theorem is used to analyze the optimization problem and to find an analytic solution. Subsequently, a tractable and iterative search algorithm is proposed to solve the redundancy resolution of such redundant mechanisms. Furthermore, it is shown through the simulation that, the elapsed time required to implement the analytical redundancy resolution scheme in a closed-loop structure is considerably less than that of other numerical optimization methods.

关键词： Redundancy Optimization Equations Actuators Manipulator dynamics Jacobian matrices

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