Výsledky vyhledávání - "Cell decomposition"

Akademický článek

RCD: Radial Cell Decomposition Algorithm for Mobile Robot Path Planning

Autor: Omnia A. A. Salama, Mohamed E. H. Eltaib, Hany Ahmed Mohamed, Omar Salah

Publikováno v: IEEE Access, Vol 9, Pp 149982-149992 (2021)

Finding the optimum path for mobile robots is now an essential task as lots of autonomous mobile robots are widely used in factories, hospitals, farms, etc. Many path planning algorithms have been developed to finding the optimum path with the minimu

Externí odkaz: https://doaj.org/article/fa367dbb04694d1ab27d401e2654c37d

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Akademický článek

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Akademický článek

Hensel minimality I

Autor: Raf Cluckers, Immanuel Halupczok, Silvain Rideau-Kikuchi

Publikováno v: Forum of Mathematics, Pi, Vol 10 (2022)

We present a framework for tame geometry on Henselian valued fields, which we call Hensel minimality. In the spirit of o-minimality, which is key to real geometry and several diophantine applications, we develop geometric results and applications for

Externí odkaz: https://doaj.org/article/fdcb3cbbf79544119bab308eeb20898b

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Akademický článek

Navigation of Multiple Disk-Shaped Robots with Independent Goals within Obstacle-Cluttered Environments

Autor: Panagiotis Vlantis, Charalampos P. Bechlioulis, Kostas J. Kyriakopoulos

Publikováno v: Sensors, Vol 23, Iss 1, p 221 (2022)

In this work, we propose a hybrid control scheme to address the navigation problem for a team of disk-shaped robotic platforms operating within an obstacle-cluttered planar workspace. Given an initial and a desired configuration of the system, we dev

Externí odkaz: https://doaj.org/article/b3f86104d9aa46c7b944040dfc551950

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Akademický článek

Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Image Feature Extraction

Autor: Hongda Li, Jian Cui, Xinle Zhang, Yongqi Han, Liying Cao

Publikováno v: Remote Sensing, Vol 14, Iss 18, p 4579 (2022)

Terrain classification is an important research direction in the field of remote sensing. Hyperspectral remote sensing image data contain a large amount of rich ground object information. However, such data have the characteristics of high spatial di

Externí odkaz: https://doaj.org/article/9fb7fc81edef41dab49ff4fd8a053909

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Quiver Grassmannians of Type D~ n , Part 2

Publikováno v: Algebras and Representation Theory. 26(2):359-409

Extending the main result of Lorscheid and Weist (2015), in the first part of this paper we show that every quiver Grassmannian of an indecomposable representation of a quiver of type D~ n has a decomposition into affine spaces. In the case of real r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::5e230d1d089ee0fead149dcbc05f68a5
http://www.scopus.com/inward/record.url?scp=85114773081&partnerID=8YFLogxK

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Akademický článek

Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles

Autor: Georgios Fevgas, Thomas Lagkas, Vasileios Argyriou, Panagiotis Sarigiannidis

Publikováno v: Sensors, Vol 22, Iss 3, p 1235 (2022)

The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to minimize the total covering path and execution time. Significant research has been done in robotics, pa

Externí odkaz: https://doaj.org/article/6d24f10fb1f1496eaf3453e514ad8201

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