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Mathematical Programming Approaches for Multi-Vehicle Motion Planning: Linear, Nonlinear, and Mixed Integer Programming
Contributor(s): Abichandani, Pramod (Author), Benson, Hande (Author), Kam, Moshe (Author)

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 ISBN: 1601987226     ISBN-13: 9781601987228
Publisher: Now Publishers
OUR PRICE: $66.50  

Binding Type: Paperback - See All Available Formats & Editions
Published: October 2013
Qty:

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Additional Information
BISAC Categories:
- Technology & Engineering | Robotics
- Mathematics | Linear & Nonlinear Programming
Series: Foundations and Trends(r) in Robotics
Physical Information: 0.19" H x 6.14" W x 9.21" L (0.31 lbs) 92 pages
Features: Illustrated
 
Descriptions, Reviews, Etc.
Publisher Description:
Real world Multi-Vehicle Motion Planning (MVMP) problems require the optimization of suitable performance measures under an array of complex and challenging constraints involving kinematics, dynamics, collision avoidance, and communication connectivity. The general MVMP problem is thus formulated as a Mathematical Programming (Optimization) problem. This book presents a Mathematical Programming (MP) framework that captures the salient features of the general MVMP problem. To demonstrate the use of MP for the formulation and solution of MVMP problems, it examines in detail four representative works and summarizes several other related ones. Following this conceptual discussion, it provides a step-by-step demonstration of how to formulate, solve, and experimentally validate an MP problem that represents a MVMP. Finally, it discusses the advantages, technical challenges, and limitations of this framework. As solution algorithms and their implementations in solvers continue to develop, it is anticipated that MP solution techniques will be applied to an increasing number of MVMP problems. The framework, formulations, and experimental approach presented here may serve as a guide for future MVMP research
 
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