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Optimized-motion planning theory and implementation by Cherif Ahrikencheikh

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Published by Wiley in New York .
Written in English


  • Robots -- Motion.,
  • Motion.

Book details:

Edition Notes

StatementCherif Ahrikencheikh, Ali Seireg.
ContributionsSeireg, Ali.
LC ClassificationsTJ211.4 .A47 1994
The Physical Object
Paginationxv, 366 p. :
Number of Pages366
ID Numbers
Open LibraryOL1084475M
ISBN 100471019038
LC Control Number94008291

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Get this from a library! Optimized-motion planning: theory and implementation. [Cherif Ahrikencheikh; Ali Seireg] -- The first handbook to the practical specifics of motion planning, Optimized-Motion Planning offers design engineers methods and insights for solving real motion planning problems in a . A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Buy Optimized-Motion Planning: Theory and Implementation (Design Engineering) Har/Dskt by Cherif Ahrikencheikh, Ali A. Seireg (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders. In this paper, we present Grasp-Optimized Motion Planning (GOMP), an algorithm that speeds up the execution of a bin-picking robot's operations by incorporating robot dynamics and a set of.

Optimized Motion Series Easy for you! Complete solution Easily size the OMS axis for your application using the catalog data. Or use PositioningDrives, the Festo sizing software. Specify and order the entire axis including actuator, motor, cables, and drive using a single order code. The entire axis is delivered together with the motor already.   (). Systems Approach to Computer-Integrated Design and Manufacturing. IIE Transactions: Vol. 28, No. 9, pp. Cited by: Book review Book review Sharir, Micha BOOK REVIEWS Aiming to optimize robot motion Optimized-Motion Planning-Theory and Implementation by Cherif Ahrikencheikh and Ali Seireg John Wilej, 6; Sons Inc., Chichester ) f, pp, ISBN H This book describes, at great length, the design and implementation of a practical motion planning system for various objects. Abstract. We present a method for robot path planning in the robot’s configuration space, in the presence of fixed obstacles. Our method employs both combinatorial and gradient-based optimization techniques, but most distinguishably, it employs a Multi-sphere Scheme purposefully developed for two and three-dimensional packing by: 2.

Accept. We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies. The results of the test case show that the optimized motion planning, obtained through the simultaneous selection of the motion time and the motion profile, yields remarkable electrical energy savings. Clearly, the amount of energy saving that can be obtained depends on the feasible motion by: Book review Full text access Aiming to optimize robot motion, Cherif Ahrikencheikh, Ali Seireg (Eds.), in: Optimized-motion planning—theory and implementation. John Wiley & Sons Inc., Chichester (), £58, pp, ISBN   In fact, we argue that machine learning techniques and optimized motion planning may provide an important tool for robophysics; such techniques can not only provide surprising and high performing locomotor solutions [78–80], but will also probe the boundaries of our understanding of complex locomotor dynamics as well as novel environmental Cited by: