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Robot Motion Planning (The Springer International Series in Engineering and Computer Science)
 
 
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Robot Motion Planning (The Springer International Series in Engineering and Computer Science) [Paperback]

Jean-Claude Latombe (Author)
5.0 out of 5 stars  See all reviews (3 customer reviews)


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Book Description

079239206X 978-0792392064 August 31, 1991 1
One of the ultimate goals in robotics is the creation of autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants dome rather than how to do it. The robots will be any kind of versatile mechanical device equipped withg actuators and sensors under the control of a computing system. Developing the technologies necesssary for autonomous robots is a formidable undertaking with deeply woven ramifications in automated reasoning, perception and control. "Robot Motion Planning" discusses a central problem in the development of autonomous robots. Motion planning, the central theme of this book, can be loosely defined as follows: how can a robot decide what motions to perform in order to achieve as a goal the arrangement of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its own motions. This book is aimed at the graduate level student intending to study further in robotics and spatial reasoning, at researchers in robotics, computer-aided design, computer graphics and computational geometry, and at engineers seeking to develop advanced computer-based systems in design, manufacturing, construction and automation.


Product Details

  • Paperback: 651 pages
  • Publisher: Kluwer Academic; 1 edition (August 31, 1991)
  • Language: English
  • ISBN-10: 079239206X
  • ISBN-13: 978-0792392064
  • Product Dimensions: 9.5 x 6.5 x 1.5 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #3,127,001 in Books (See Top 100 in Books)

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5.0 out of 5 stars Wonderful, May 31, 2000
By 
Gregory Dudek (Montreal, Canada) - See all my reviews
This review is from: Robot Motion Planning (The Springer International Series in Engineering and Computer Science) (Paperback)
If you're interested in robot motion planning, this book is it! It provides incomparable detailed coverage of the major methods for motion planning and their theory, and could serve as a great geometrical perspective to planning in general. It's not a casual read, however and is meant for a specialist audience with a liking for theory. No professional roboticist should be without it.
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0 of 1 people found the following review helpful:
5.0 out of 5 stars Robot Motion Planing by La'tomb, May 4, 2011
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The book arrived in the mail 10 days before the date promised, new and no damage, so I can say I am very pleased.
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1 of 3 people found the following review helpful:
5.0 out of 5 stars Very good book, June 20, 2000
This review is from: Robot Motion Planning (The Springer International Series in Engineering and Computer Science) (Paperback)
Comprehensive coverage of motion planning techniques.
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Inside This Book (learn more)
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First Sentence:
A robot is a versatile mechanical device  for example, a manipulator arm, a multi-joint multi-fingered hand, a wheeled or legged vehicle, a free-flying platform, or a combination of these  equipped with actuators and sensors under the control of a computing system. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
control uncertainty cone, approximate cell decomposition approach, maximal preimage, basic motion planning problem, single movable object, dynamic motion planning problem, feasible free path, effective commanded velocity, striped contour, frictionless fingertips, polygonal workspace, backchaining process, connecting ginit, manipulation planning problem, preimage backchaining approach, principal axis basis, configurations ginit, convex generalized polygons, freeway method, visibility graph method, sensed configuration, exact cell decomposition method, polygonal configuration space, nondirectional preimage, reduced visibility graph
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Roadmap Methods, Control Lie Algebra, Computational Geometry, Kinematic Constraints Figure, Multiple Moving Objects Figure, Consider Figure, P-invariant Collins, Artificial Intelligence, Differential Geometry
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