Scheduling and Motion Coordination of Autonomous Vehicles | Task Allocation and Motion Coordination of Multiple Autonomous Vehicles in Outdoor Material Handling Systems

Asela Kulatunga

ISBN 10: 3659518778 / ISBN 13: 9783659518775

Published by LAP LAMBERT Academic Publishing, 2014

About this Item

Scheduling and Motion Coordination of Autonomous Vehicles | Task Allocation and Motion Coordination of Multiple Autonomous Vehicles in Outdoor Material Handling Systems | Asela Kulatunga | Taschenbuch | 212 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659518775 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 105335965

Bibliographic Details

• Title: Scheduling and Motion Coordination of Autonomous Vehicles | Task Allocation and Motion Coordination of Multiple Autonomous Vehicles in Outdoor Material Handling Systems
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 3659518778
• ISBN 13: 9783659518775
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 334 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This study focuses on developing an approach to solve the complex problem of task allocation and motion coordination simultaneously for a large fleet of autonomous vehicles in highly constrained operational environments. A Simultaneous Task Allocation and Motion Coordination approach is developed to solve the problem in a concurrent manner. Furthermore, a novel algorithm: Simultaneous Path and Motion Planning is proposed for collision free motion coordination based on Dijkstra and A * algorithms. The appropriateness of heuristic and evolutionary algorithms to solve the problem is investigated. A distributed computational architecture is also developed to improve the efficiency of implementation of the approach. The proposed approach is tested with static and dynamic environments, and validated by using data from an automated container terminal with fleet of autonomous straddle carriers.

About the Author

Asela K. Kulatunga PhD(UTS), is a lecturer at the Department of Production Engineering, University of Peradeniya, Sri Lanka. He has served as a member of reviewing panels in number of international conferences and journals and has published around 50 research papers. His areas of interests are Industrial Engineering and Sustainable Manufacturing.