Vision Servoing

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1: Proceedings of CDC2000
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Vision Based Estimation and Control: Recent Advances and Open Problems
Agile Control of Military Operations
Sliding Mode Control II
Model-based Fault Diagnosis of Industrial Processes
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System Identification and Confidence Estimation
New Approaches to H-Infinity Control I
Probabilistic Approaches to Robust Control
Time Delay System Stabilisation
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Output Feedback of Nonlinear Systems
Topics in Nonlinear Stabilisation
Mobile Robots: Tracking Control
Robust Control of Nonlinear Systems
Power Systems Stabilisation and Control
Disk Drive Control
Hybrid Control Applications
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New Approaches to H-Infinity Control II
Linear Systems with Saturating Actuators
New Theories in Distributed Parameter Systems
Applications of Estimation and Identification
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Coordinating Robot Systems
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Periodic Systems and Disturbances
New Horizons for Distributed Parameter Systems
State Estimation
Learning and Neuro-Control
Nonlinear Control and Stabilisation I
Tracking
Vision Servoing
Controllability of Nonlinear Systems
Control of Flexible Systems
Electro-Mechanical Systems
Robust Control Methods and Applications
Fault Detection and Diagnosis
Optimisation and Applications
Robust Stability Analysis
Numerical Methods in Control
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Interplay between Control and Signal Processing
Fault Detection and Analysis
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Estimation and Identification using Hidden Markov Models
Applications of Stochastic Control
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Ambulatory Robot Systems
Chaotic and Oscillatory Systems
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Linear Design Techniques
Adaptive Disturbance / Noise Compensation
Nonlinear Model Predictive Control
Sensitivity Design, Analysis and Limitations
Analysis of Linear Systems
Linear Matrix Inequalities in Design
Lyapunov's 2nd Method
Robotics: Tracking Control
Lagrangian and Hamiltonian Theory
Variable Structure Control
Machine Vision
Signal Processing Methods in Control
Applied Nonlinear Control

Author Index
A B C D E F G H I
J K L M N O P Q R
S T U V W X Y Z

Rigid Body Visual Servoing Using Navigation Functions

Authors:

Noah J. Cowan, Gabriel A.D. Lopes, Daniel E. Koditschek,

Volume: 1, Page 3920 Paper number 1963

Abstract:

Visual servo controllers in the literature rarely achieve provably large domains of attraction, and seldom address two important sensor limitations: (i) susceptibility to self-occlusions and (ii) finite field of view (FOV). In this paper, we tackle the problem of global, occlusion-free visual servoing of a fully actuated rigid body by recourse to navigation functions on a compact manifold which encode these restrictions as control obstacles. For occlusion free rigid body servoing, the manifold of interest is the "visible" set of rigid body configurations, that is, those for which the feature points are within the field of view and unoccluded by the body. For a set of coplanar feature points on one face of a convex polyhedron, we show that a slightly conservative subset of the visible set has a simple topology amenable to analytical construction of a navigation function. We construct the controller via a closed form coordinate transformation from our problem domain into the topological model space and conclude with simulation results.

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Enlargement of Stable Region in Visual Servo

Authors:

Koichi Hashimoto, Toshiro Noritsugu,

Volume: 1, Page 3927 Paper number 1584

Abstract:

This paper proposes a potential switching scheme that enlarge stable region of feature-based visual servoing. Potential is defined as the norm of image feature error and stable region is a downward convex region of the potential surface that includes reference position. The proposed scheme generates relay images that interpolate initial and reference image features and artificial potential is defined by using relay images. The artificial potentials are patched around the reference point of the original potential to enlarge the stable region. Simulations with simplified configuration and experiments on a 6 DOF robot show the validity of the proposed control scheme.

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Visual Servoing Of A Class Of Under-Actuated Dynamic Rigid-Body Systems

Authors:

Tarek Hamel, Robert Mahony,

Volume: 1, Page 3933 Paper number 1662

Abstract:

A new image-based control strategy for visual servoing is presented. The proposed control design addresses visual servoing of `eye-in-hand' type systems and treats the camera motion as rigid-body dynamics that are positioned relative to an observed visual target. The proposed design is applicable to a class of under-actuated dynamic systems that include idealized models of mobile robotic vehicles such as helicopters, aeroplanes, etc. The proposed design is motivated by a theoretical analysis of the dynamic equations of motion of an under-actuated rigid body and exploits passivity-like properties of these dynamics to derive a Lyapunov control algorithm using robust backstepping techniques.

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Asymptotic Stability of Robot Control with Approximate Jacobian Matrix and its Application to Visual Servoing

Authors:

Chien Chern Cheah, Kai Lee, Sadao Kawamura, Suguru Arimoto,

Volume: 1, Page 3939 Paper number 1014

Abstract:

In order to describe a task for the robot manipulator, a desired path for the end effector is usually specified in task space such as Cartesian space. In the presence of uncertainty in kinematics, it is impossible to derive the desired joint angle from the desired end effector path by solving the inverse kinematics problem. In addition, the Jacobian matrix of the mapping from joint space to task space could not be exactly derived. In this paper, we present feedback control laws for setpoint control of robot with uncertain kinematics and Jacobian matrix from joint space to task space. Sufficient conditions for the bound of the estimated Jacobian matrix and stability conditions for the feedback gains are presented to guarantee the stability of the robot's motion. Simulation results are presented to illustrate the performance of the proposed controllers.

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Inverse Optimal H-Infinity Disturbance Attenuation for Planar Manipulators with the Eye-in-Hand System

Authors:

Masayuki Fujita, Akira Maruyama, Manabu Watanabe, Hiroyuki Kawai,

Volume: 1, Page 3945 Paper number 1443

Abstract:

This paper deals with an inverse optimal H-infinity disturbance attenuation for the planar manipulators with the eye-in-hand system. The input-to-state stability control Lyapunov function (ISS-CLF) is constructed the full Lagrangian dynamics based on a potential unction of the image feature parameter space. The ISS-CLF gives us an inverse optimal H-infinity control law. A proposed controller solves the inverse optimal H-infinity control problem by minimizing a cost functional, and the closed-loop system with the proposed controller is input-to-state stable. Further, we discuss that the inverse optimal H-infinity controller has robustness against input uncertainties.

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Discrete-Time Robot Visual Feedback Systems with Nonlinear Depth Adaptation: Stability Analysis and Experiments

Authors:

Fabio Conticelli, Benedetto Allotta,

Volume: 1, Page 3951 Paper number 1587

Abstract:

In this paper, a nonlinear adaptive visual feedback scheme is designed to perform 3-D positioning tasks, i.e. the regulation of the relative pose between a robotic camera and a rigid object of interest. The dynamical system of robotic camera-object interaction is expressed in terms of image features, i.e. 2-D points track-able in the image plane. Since visual sampling period is not negligible at the current state of technology, a discrete-time representation of the camera-object interacton model is first derived. By exploiting nonlinear controllability properties, a discrete-time control law is designed based on Lyapunov's direct method, which ensures asymptotic stability of the image reference set-point. Moreover, a 3-D adaptation procedure, in case of unknown object depth, ensures ultimate boundedness of the whole state vector.

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Active Distance Stabilization of Large Bodies Using Fabry-Perot Interferometry

Authors:

Enrico Canuto,

Volume: 1, Page 3957 Paper number 1343

Abstract:

The paper presents control design and results of a distance stabilization experiment aiming at picometer repeatability. The experiment, called COSI, was funded by European Space Agency in view of space telescopes needing picoradian precision. Stabilization is achieved by actively controlling the optical length of in vacuum Fabry-Perot interferometers. Experiments stabilized three 0.5m distances between two 7kg plates with a repeatability better than 3pm (RMS), in presence of severe environment noise and artificial micrometer displacements, thus demonstrating feasibility of COSI concept and technology.

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