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48585 results in Computer Science

Page 1667 of 2430

  • Introduction to the special issue: Intelligent control for manipulation

  • David Gershon
  • Journal:
    Robotica / Volume 12 / Issue 2 / March 1994
    Published online by Cambridge University Press:
    09 March 2009, pp. 97-99

  • This special issue is concerned with the intelligent control of robots in the performance of manipulation tasks. First we will try to define what we mean by intelligent control and by manipulation tasks.

    Unfortunately, intelligent control is a somewhat imprecise term, just like the word control itself, so that its meaning can vary widely depending on the application and on the writer's scientific discipline. In general terms, we can say that intelligent control implies some degree of autonomy in performing a task while accommodating uncertainty. In the control of sensor-based robot systems, we could characterize an intelligent controller as one with the following capabilities;

  • Specific computation of inverse kinematics in a robot off-line programming environment

  • Jean - Philippe Cassar, Philippe Vanheeghe
  • Journal:
    Robotica / Volume 7 / Issue 1 / January 1989
    Published online by Cambridge University Press:
    09 March 2009, pp. 65-69

  • An off-line programming station for a robotised welding cell is presented. In this context the choice of a kinematic inversion method applied to the simulation of robots is discussed.

    A direct inversion method is developed in the case of 5-axes robots of plane geometry and for a task presenting a symmetry of revolution. It uses the geometry of the tool and of the robot and vectorial calculations very well adapted to this particular case. The results presented validate the choice of this method for a specialised programming environment.

  • ROB volume 6 issue 4 Cover and Front matter

  • Journal:
    Robotica / Volume 6 / Issue 4 / October 1988
    Published online by Cambridge University Press:
    09 March 2009, pp. f1-f2
    • Article
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  • An optimal force distribution scheme for cooperating multiple robot manipulators

  • Yong Dal Shin, Myung Jin Chung
  • Journal:
    Robotica / Volume 11 / Issue 1 / January 1993
    Published online by Cambridge University Press:
    09 March 2009, pp. 49-59

  • In this paper, we suggest an optimal force distribution scheme by weak point force minimization and we also present an efficient method to solve the problem. The concept of a weak point is a generalized one which is applicable to any points of interest, as well as joints or contact points between end-effectors and an object. The problem is formulated by a quadratic objective function of the forces exerted at weak points subject to the linear equality and inequality constraints, and its optimal solution is obtained by an efficient method. As regards the solution of the problem, the original problem is reformulated to a reduced order dual problem after the equality constraints are eliminated by force decomposition.

  • Planning of flexible manufacturing systems

  • Andrew Kusiak
  • Journal:
    Robotica / Volume 3 / Issue 4 / October 1985
    Published online by Cambridge University Press:
    09 March 2009, pp. 229-232

  • In this paper a new approach to planning of Flexible Manufacturing Systems (FMSs) is discussed. This approach takes advantage of FMS features and is based on linking of machining and assembling operations. There are two problems embedded in the presented approach: station loading and operation scheduling. A formulation of a station loading problem for a single machining period is presented. Some of the computational results are also discussed.

  • 18 - Inheritance

  • Allen B. Downey, Olin College of Engineering, Massachusetts
  • Book:
    Python for Software Design
    Published online:
    05 June 2012
    Print publication:
    09 March 2009, pp 201-213

  • Summary

    In this chapter we will develop classes to represent playing cards, decks of cards, and poker hands. If you don't play poker, you can read about it at wikipedia.org/wiki/Poker, but you don't have to; I'll tell you what you need to know for the exercises.

    If you are not familiar with Anglo-American playing cards, you can read about them at wikipedia.org/wiki/Playing_cards.

    CARD OBJECTS

    There are fifty-two cards in a deck, each of which belongs to one of four suits and one of thirteen ranks. The suits are Spades, Hearts, Diamonds, and Clubs (in descending order in bridge). The ranks are Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen, and King. Depending on the game that you are playing, an Ace may be higher than King or lower than 2.

    If we want to define a new object to represent a playing card, it is obvious what the attributes should be: rank and suit. It is not as obvious what type the attributes should be. One possibility is to use strings containing words like ‘Spade’ for suits and ‘Queen’ for ranks. One problem with this implementation is that it would not be easy to compare cards to see which had a higher rank or suit.

    An alternative is to use integers to encode the ranks and suits. In this context, “encode” means that we are going to define a mapping between numbers and suits, or between numbers and ranks.

  • ROB volume 12 issue 5 Front matter

  • Journal:
    Robotica / Volume 12 / Issue 5 / September 1994
    Published online by Cambridge University Press:
    09 March 2009, p. f1
    • Article
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  • Letter to Editor

  • Journal:
    Robotica / Volume 10 / Issue 5 / September 1992
    Published online by Cambridge University Press:
    09 March 2009, p. 477
    • Article
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  • ROB volume 4 issue 3 Cover and Back matter

  • Journal:
    Robotica / Volume 4 / Issue 3 / July 1986
    Published online by Cambridge University Press:
    09 March 2009, pp. b1-b2
    • Article
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Page 1667 of 2430