Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/12637
Title: The navigation transformation
Authors: Loizou, Savvas 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Autonomous robots;Closed-form solutions;Jacobian matrices;Motion planning;Navigation;Planning;Robots;Temporal stabilization;Time abstraction;Trajectory;Tuning
Issue Date: Dec-2017
Source: IEEE Transactions on Robotics, 2017, vol. 33, no. 6, pp. 1516-1523
Volume: 33
Issue: 6
Start page: 1516
End page: 1523
Journal: IEEE Transactions on Robotics 
Abstract: This work introduces a novel approach to the solution of the navigation problem by mapping an obstacle-cluttered environment to a trivial domain called the point world, where the navigation task is reduced to connecting the images of the initial and destination configurations by a straight line. Due to this effect, the underlying transformation is termed the “navigation transformation.” The properties of the navigation transformation are studied in this work as well as its capability to provide—through the proposed feedback controller designs—solutions to the motion- and path-planning problems. Notably, the proposed approach enables the construction of temporal stabilization controllers as detailed herein, which provide a time abstraction to the navigation problem. The proposed solutions are correct by construction and, given a diffeomorphism from the workspace to a sphere world, tuning free. A candidate construction for the navigation transformation on sphere worlds is proposed. The provided theoretical results are backed by analytical proofs. The efficiency, robustness, and applicability of the proposed solutions are supported by a series of experimental case studies.
ISSN: 15523098
DOI: 10.1109/TRO.2017.2725323
Rights: © IEEE
Type: Article
Affiliation : Cyprus University of Technology 
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