- Corpus ID: 44756670
High-Performance Visual Closed-Loop Robot Control
@inproceedings{Corke1994HighPerformanceVC, title={High-Performance Visual Closed-Loop Robot Control}, author={Peter Corke}, year={1994}, url={https://api.semanticscholar.org/CorpusID:44756670} }
- Peter Corke
- Published 1994
- Engineering, Computer Science
A distinction between visual kinematic and visual dynamic control is introduced, concerned with how the manipulator should move in response to perceived visual features, which is well addressed in the literature.
71 Citations
Active vision techniques for uncalibrated hand-eye coordination and motor control
- Martin Jägersand
- Computer Science, Engineering
- 1996
It is argued that the vision space approach is particularly suited for easy teaching/programming of a robot and able to solve complex real world manipulation tasks without needing any a-priori calibration of either camera or robot manipulator or knowlegde of the geometric relationships between these and the manipulated objects.
Robotics Arm Visual Servo: Estimation of Arm-Space Kinematics Relations with Epipolar Geometry
- E. Mattar
- Engineering, Computer Science
- 2012
Within this chapter, this chapter shall be discussing and presenting an integration approach that combines "Visual Feedback" sensory data with a "6-DOF robotics Arm Controller".
Visual Control of Robots: High-Performance Visual Servoing
- Peter Corke
- Engineering, Computer Science
- 1996
From the Publisher:
This book is about the application of high-speed machine vision for close-loop position control, or visual servoing, of a robot manipulator. It provides a comprehensive coverage…
Adaptive Differential Visual Feedback for Uncalibrated Hand-Eye Coordination and Motor Control
- Martin J agersandR. Nelson
- Computer Science, Engineering
- 1994
A novel method for visual space trajectory planning, and adaptive high degree-of-freedom (DOF) visual feedback control, and is used to specify and execute complex tasks involving real-world robot manipulation of rigid and non-rigid objects in up to 12 degrees of freedom.
Epipolar-kinematics relations estimation neural approximation for robotics closed loop visual servo system
- E. Matter
- Computer Science, Engineering
- 2010
This article studies a possibility of using a learning system for learning the complicated kinematics relating object features to robotics arm joint space, by avoiding computing object's feature inverse Jacobian, even at singular Jacobian postures.
Acquiring Visual-Motor Models for Precision Manipulation with Robot Hands
- Martin JägersandO. FuentesR. Nelson
- Computer Science, Engineering
- 1996
This work presents a novel active vision based algorithm for visual servoing, capable of learning the manipulator kinematics and camera calibration online while executing a manipulation task, and an extensive experimental evaluation of visual model acquisition and visual Servoing in 3, 4 and 6 DOF.
Image Based Visual Simulation and Tele-Assisted Robot Control
- Martin Jagersand
- Computer Science, Engineering
- 1997
This work has developed an integrated model estimation, control and visual simulation system capable of transforming visual space plans into motor action and providing image based synthethic visual feedback to the human operator in order to compensate for the delayed response of the real robotic system.
Performance evaluation of an active vision system
- U. C. V. Seelen
- Computer Science, Engineering
- 1997
This dissertation examines the performance of a camera pan axis in a monocular fixation task and explores some of the conditions under which the linear model fails and the system loses the _target from its field of view.
Dynamic Issues in Robot Visual-Servo Systems
- Peter Corke
- Computer Science, Engineering
- 1996
This paper poses a number of questions related to the performance and structure of closed-loop visual control, or visual servo, systems and the choice of feedback versus feedforward control.
Visual space task specification, planning and control
- Martin JagersandR. Nelson
- Computer Science, Engineering
- 1995
This work presents a promising approach to visual (and more general sensory) robot control, that does not require modeling of robot transfer functions or the use of absolute world coordinate systems, and thus is suitable for use in unstructured environments.
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263 References
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A real-time visual servoing approach to robotics tasks consisting of the positioning of the end effector with respect to a priori known polyhedral objects is applied, proving the robustness and stability of the algorithm.
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This thesis discusses three coherent main topics of visual feedback control as they pertain to the control of a hand-eye coordinated robotic system: a multi-loop resolved motion rate control structure, an adaptive self-tuning controller to fine tune the transformation from feature space to robot joint space and to predict the position of image features.
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The authors propose the use of sum-of-squared differences optical flow for the computation of the vector of discrete displacements each instant of time for real-time visual tracking of arbitrary 3-D objects traveling at unknown velocities in a 2-D space.
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A visual feedback control scheme, called image-based visual servo, is proposed for manipulators with cameras on their hands that is stable even under noisy conditions, while the conventional position-based servo tends to be unstable.
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Consideration is given to grasping a moving _target by adaptively controlling a robot manipulator by performing a prediction based on an autoregressive (AR) model, which is determined using the information extracted from the computer images.
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The authors address the problem of integrating the human operator with autonomous robotic visual tracking and servoing modules and presents an experimental setup where all different schemes have been tested.
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A vision-guided robot workstation is presented which picks up workpieces from a fast-moving conveyor belt and a tracking controller with dynamic visual feedback is designed for achieving fast response and high control accuracy.
Adaptive Visual Servo Control of Robots
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- Engineering, Computer Science
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This paper characterises visual servo systems by the feedback representation mode, position-based or image-based, and the joint control mode, closed-loop or open-loop, and discusses the design problems posed by nonlinear and coupling transformations introduced by visual tracking systems.
Experiments in High-Performance Robotic Visual Servoing
- Peter Corke
- Computer Science, Engineering
- 1993
The limitations of pure visual feedback control are discussed, and an approach based on axis velocity control and estimated _target velocity feedforward is proposed, which is proposed to improve high-performance tracking.
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