An Information Centric Approach To Autonomous Trajectory Planning Utilizing Optimal Control Techniques
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An Information-centric Approach to Autonomous Trajectory Planning Utilizing Optimal Control Techniques
This work introduces a new information-centric pseudospectral optimal controlbased algorithm for autonomous trajectory planning and control of unmanned ground vehicles with real-time information updates. It begins with a comprehensive study and comparison of the various path planning methods currently in use. It then provides an analysis of the optimal control method, including vehicle and obstacle modeling techniques, several different problem formulations, and a number of important insights on unmanned ground vehicle motion planning. The new algorithm is then utilized on a collection of motion planning scenarios with varying levels of information; the performance of the planner and the solution accuracies under these varying levels of information are studied for both single and multi-vehicle scenarios. The multi-vehicle scenarios compare and contrast centralized, decentralized, decoupled, coordinated, cooperative, and prioritized control methods. Finally, the versatility of the planner (and the optimal control technique) is demonstrated, as it is used as both a path follower and trajectory planner in a collection of scenarios, including multi-vehicle formations and sector keeping.
Dynamics of Information Systems
Author: Michael Hirsch
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-04-11
"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research. This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.
Intelligent Autonomous Systems 16
This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design—as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986. Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com