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Application of a genetic algorithm in triangulation of a 3-D object surface

International Journal of Computers and Applications 2000年第2期22卷 73-77页

作者： Zhenyu, Chen Mbede, J.B. Yan, Zhou Dehua, Li Hanping, Hu State Commn. Res. Open Lab. Image P. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Intelligent Contr. and Robotics Lab. Dept. of Contr. Sci. and Engineering Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Second Artillery Institute Huazhong Univ. of Sci. and Technol. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. Second Artillery Institute China Wuhan University China Artificial Intelligence Department University of Edinburgh Inst. of AI and Pattern Recognition Huazhong Univ. of Sci. and Technol. China Cogn. Sci. Natl. Key Found. Res. P. Douala University Cameroon Tübingen University Germany Automatic Control Laboratory Darmstadt University Department of Service Cameroon Min. of National Education Robotics Laboratory Huazhong Univ. of Sci. and Technol. Wuhan China Assoc. Connectionnistes These-ACTH Rennes France IEEE Soc. of Robotics and Automation IEEE Society of Control Systems IASTED Assoc. Jeunes Chercheurs Robotique France Navy University of Engineering China Huazhong Univ. of Sci. and Technol. China Department of Computer Science Airforce Radar Acad. of Engineering China Inst. of P.R and AI Huazhong Univ. of Sci. and Technol.

This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.

关键词： Object recognition

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Force control for flexible robots using neural networks

Force control for flexible robots using neural networks

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American control Conference (ACC)

作者： J. Borowiec A. Tzes Network Wireless Systems Product Design & Realization Lucent Technologies Inc. Whippany NJ USA Control/Robotics Research Laboratory Mechanical Engineering Department Six Metrotech Center Polytechnic University Brooklyn NY USA

Force control for flexible link robots using neural networks is considered. The nonlinear dynamics of the robot manipulator are identified through a recurrent neural network (RNN), which is trained in an off-line manner. Inversion of the RNN-based model dynamics leads to a feedforward component. The feedback controller gains are derived from the minimization of a discrete linear quadratic cost functional, subject to the model dynamics inferred by the linearization of the neural network along the desired trajectory. Sufficient conditions for temporal gain switching bounds are provided. The proposed control scheme is employed in simulation studies on a two link rigid-flexible manipulator.

关键词： Force control Neural networks Manipulator dynamics Recurrent neural networks Force feedback Jacobian matrices Adaptive control Cost function Robot kinematics Torque

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Towards Constructing and Using Selforganizing Visual Environment Representations for Mobile Robots

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IFAC Proceedings Volumes 1998年第3期31卷 387-392页

作者： Georg von Wichert Henning Tolle Control Systems Theory & Robotics Laboratory Institute of Control Engineering Darmstadt University of Technology Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany

Due to the upcoming applications in the field of service robotics mobile robots are currently receiving increasing attention in industry and the scientific community. Applications in the area of service robotics demand a high degree of system autonomy, which robots without learning capabilities will not be able to meet. Learning is required in the context of action models and appropriate perception procedures. Both are extremely difficult to acquire especially with high bandwidth sensors (e.g. video cameras) which are needed in the envisioned unstructured worlds. Selflocalization is a basic requirement for mobile robots. This paper therefore proposes a new methodology for image based selflocalization using a selforganized visual representation of the environment. It allows for the seamless integration of active and passive localization.

关键词： Mobile robots Navigation Vision Scene analysis Selforganizing systems

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Calibrating a multi-manipulator robotic system (vol 4, pg 20, 1997)

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IEEE robotics & AUTOMATION MAGAZINE 1997年第2期4卷 44-44页

作者： Bonitz, RG Hsia, TC Jet Propulation Laboratory Pasadena CA USA Systems.Control and Robotics Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA

A simple, but effective, method of calibrating a multimanipulator robotic system is introduced. The algorithm uses precisely machined calibration plates which are inexpensive to manufacture and require no measuring instrumentation. The method is tested on a dual-arm system which resulted in an order of magnitude reduction in the pose error. Coordinated dual-arm manipulation experiments are conducted using the calibrated kinematic model to validate the usefulness of the calibration process

关键词： Calibration Robot kinematics Manipulators robotics and automation Force control End effectors Acoustic measurements Testing Coordinate measuring machines Position measurement

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A methodology for geometric design of closed kinematic chain mechanisms

A methodology for geometric design of closed kinematic chain...

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IEEE International Conference on robotics and Automation (ICRA)

作者： M.D. Bryfogle C.C. Nguyen Z.-L. Zhou S.S. Antrazi Intelligent Systems Division Robotics System Engineer SAIC Germantown MD USA Robotics and Control Laboratory Catholic University of America Washington D.C. DC USA

This paper presents a methodology for the geometric design of those closed-kinematic chain mechanisms consisting of two platforms connected by six linear actuators. The methodology provides a guideline for the placement of the linear actuator joints which can maximize the mechanism workspace and forces/torques. The paper explains how the presented methodology was applied in the design of two real-world robotic systems, a force reflecting hand controller of a teleoperation system and a fine motion mechanism of a munition loading system.

关键词： Design methodology Leg Payloads Robot kinematics Coaxial components Legged locomotion Force control Motion control Jacobian matrices Intelligent systems

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Fuzzy-Q learning for autonomous robot systems

Fuzzy-Q learning for autonomous robot systems

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International Conference on Neural Networks

作者： Il Hong Suh Jae-Hyun Kim F.C.-H. Rhee Intelligent Control and Robotics Laboratory Department of Electronic Engineering Hanyang University Ansan South Korea Computational Vision and Fuzzy Systems Laboratory Hanyang University Ansan South Korea

It is desirable for autonomous robot systems to posses the ability to behave in a smooth and continuous fashion when interacting with an unknown environment. Since Q-learning is normally used for optimizing a series of discrete actions, it may be undesirable when applied to a real environment which involves continuous states and actions. In this paper, we propose a new method of Q-learning that incorporates a fuzzy interpolation technique which is used to approximate a continuous state. Our learning method can estimate current state by its neighboring states and has the ability to learn its actions similar to that of Q-learning. Thus, our method can enable robots to react smoothly in a real environment. Simulation results involving an autonomous robot are given to show the validity of our method.

关键词： Robot sensing systems control systems Laboratories Interpolation State estimation Intelligent robots Learning Robot control Robot vision systems Machine vision

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Synthesized passive feedback control of sensor-rich structures

Synthesized passive feedback control of sensor-rich structur...

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American control Conference (ACC)

作者： P. Akella J.T. Wen Control Laboratory for Mechanical Structures (CLaMS) Center for Advanced Technology in Automation Robotics & Manufacturing Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input/output map of a flexible structure to be passive, collocation of the actuators and sensors is required and also the sensors should measure the velocity of the system. The so-called smart structures frequently have more sensors than actuators. Therefore, the passive controller can at best utilize only a subset of the sensors. In this paper we consider the design of a squaring down matrix which would render a system passive subject to some additional performance considerations. The problem of obtaining the synthesized passive output is cast as a set of linear matrix inequalities (LMIs) which can be efficiently solved by the LMI Toolbox in Matlab. We apply this procedure with the assumption that the sensors provide both displacement and velocity information which is generally not true. We show that the passive controllers can be implemented without the use of velocity information. By using synthesized passive outputs in addition to naturally occurring passive outputs, we obtain better system performance. We present experimental results involving a single flexible beam with torque input and hub angular position and strain gage outputs.

关键词： Feedback control Intelligent sensors control system synthesis Mechanical sensors Sensor systems Linear matrix inequalities Mechanical factors control systems Robust stability Flexible structures

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A Dynamic Predicting Algorithm for Estimating Bus Arrival Time

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IFAC Proceedings Volumes 1997年第8期30卷 1225-1228页

作者： Edwin M. Reinhoudt S.A. Velastin Delft University of Technology Department of Electrical Engineering Telecommunications and Traffic Control Systems Group Mekelweg 4 2628 CD Delft the Netherlands fax: +31 (15) 278 1774 Department of Electronic & Electrical Engineering Vision and Robotics Laboratory King’s College London Strand London WC2R 2LS United Kingdom fax: +44 (171) 873 2211

In order to maintain a high quality service and keep up with the ever increasing demands in the field of public transport, London Transport Buses (LTB) equipped bus routes in a test area in North London with a new system called Countdown. The system calculates arrival time estimations which inform both the customers and the operators of the company about the running of their buses. The calculations should be as accurate as possible in the interest of customer satisfaction. This paper shows that the use of a dynamic Kalman filter instead of a previously used static averaging algorithm, improves the error distribution up to 7% and often reduces maximum absolute error figures significantly. This technique may also prove to be a useful tool for other predicting systems.

关键词： Measurement Surveillance Estimation Practical Application Results Travel Traffic Information Public Transport

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Internal force-based impedance control for cooperating manipulators

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IEEE TRANSACTIONS ON robotics AND AUTOMATION 1996年第1期12卷 78-89页

作者： Bonitz, RG Hsia, TC Systems Controland Robotics LaboratoryDepartment of Electrical and Computer Engineering University of California Davis CA USA

An internal force-based impedance control scheme for cooperating manipulators is introduced which controls the motion of the objects being manipulated and the internal force on the objects. The controller enforces a relationship between the velocity of each manipulator and the internal force on the manipulated objects. Each manipulator is directly given the properties of an impedance by the controller;thus, eliminating the gain limitation inherent in the structure of previously proposed schemes. The controller uses the forces sensed at the robot end effecters to compensate for the effects of the objects' dynamics and to compute the internal force using only kinematic relationships. Thus, knowledge of the objects' dynamics is not required. Stability of the system is proven using Lyapunov theory and simulation results are presented validating the proposed concepts. The effect of computational delays in digital control implementations is analyzed vis-a-vis stability and a lower bound derived on the size of the desired manipulator inertia relative to the actual manipulator endpoint inertia. The bound is independent of the sample time.

关键词： Impedance Force control Motion control Manipulator dynamics Velocity control Robot sensing systems End effectors Kinematics Stability Computational modeling

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Robust internal-force based impedance control for coordinating manipulators-theory and experiments

Robust internal-force based impedance control for coordinati...

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IEEE International Conference on robotics and Automation (ICRA)

作者： R.G. Bonitz T.C. Hsia Department of Electrical and Computer Engineering Systems Control and Robotics Laboratory University of California Davis CA USA

A robust internal force-based impedance control scheme for coordinating manipulators is introduced. Internal force-based impedance control enforces a relationship between the velocity of each manipulator and the internal force on the manipulated objects and requires no knowledge of the object dynamic model. Each manipulator's nonlinear dynamics is compensated by a robust auxiliary controller which is insensitive to robot-model uncertainty and payload variation. The controller is only weakly-dependent on each manipulator's inertia matrix. Stability of the system is analyzed. The scheme is computationally inexpensive and suitable for general-purpose microcomputer implementation. Rigorous experimental investigations are performed and the results presented which validate the proposed concepts.

关键词： Robust control Impedance Manipulator dynamics Force control Nonlinear dynamical systems Velocity control Robot kinematics Uncertainty Payloads Stability analysis

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