Proceedings, 1989 International Conference on Robotics and Automation
DOI: 10.1109/robot.1989.100157
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Understanding and applying a robot ping-pong player's expert controller

Abstract: Our robot ping-pong system attains good performance in a complex non-linear environment subject t o tight temporal constraints. We will show how the expert controller combines approximate estimates and feedback t o arrive a t a suitable task plan, emphasizing feasibility rather than strict optimality. We will discuss the characteristics of the expert controller t h a t cause it t o work, and their relationship t o other tasks.

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Cited by 19 publications
(11 citation statements)
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“…This application considers an eye-in-hand configuration within dynamic look-and-move position-based scheme [6]. The task is defined as a 3D visual tracking task, keeping a constant relationship between the camera and the moving target (ball).…”
Section: Visual Servoing Architecturementioning
confidence: 99%
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“…This application considers an eye-in-hand configuration within dynamic look-and-move position-based scheme [6]. The task is defined as a 3D visual tracking task, keeping a constant relationship between the camera and the moving target (ball).…”
Section: Visual Servoing Architecturementioning
confidence: 99%
“…A number of visual servo systems using model based tracking to estimate the pose of the object have been reported. Andersson presents one particular application: a ping-pong playing robot [5] [6]. The system uses a Puma robot and four video cameras.…”
Section: Introductionmentioning
confidence: 99%
“…Early examples of dynamic robot control include the ping-pong playing robot at Bell Labs [3], and the juggling robot developed by Koditschek et al [4], [5]. Another example of dynamic systems are walking robots [6].…”
Section: Introductionmentioning
confidence: 99%
“…This system was further analyzed by [9]. [1] designed a pingpong playing robot which used a simple model of point-mass collision to predict the motion of the ball after striking. [18] attempts to characterize the qualitative behavior change in the motion of objects upon collision.…”
Section: Motivationmentioning
confidence: 99%
“…Define the constraint surface to be the set of configurations for which the object touches the table without penetration for a given table orientation (see [11] for a discussion of configuration space). Then according to equation (1), the object will reflect about the normal to the constraint surface. This is an intuitive extension of the usual example of a perfectly elastic, frictionless point mass impact against a flat barrier.…”
Section: The Lossless Casementioning
confidence: 99%