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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

SEQUENTIAL COLLISION-FREE OPTIMAL MOTION PLANNING ALGORITHMS IN PUNCTURED EUCLIDEAN SPACES

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Author(s):
IPANAQUE ZAPATA, C. E. S. A. R. A. [1] ; GONZaLEZ, JESuS [2]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao USP, Dept Matemat, Ave Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Ctr Invest & Estudios Avanzados IPN, Dept Matemat, Av Inst Politecn Nacl 2508, Mexico City 07000, DF - Mexico
Total Affiliations: 2
Document type: Journal article
Source: BULLETIN OF THE AUSTRALIAN MATHEMATICAL SOCIETY; v. 102, n. 3, p. 506-516, DEC 2020.
Web of Science Citations: 0
Abstract

In robotics, a topological theory of motion planning was initiated by M. Farber. We present optimal motion planning algorithms which can be used in designing practical systems controlling objects moving in Euclidean space without collisions between them and avoiding obstacles. Furthermore, we present the multi-tasking version of the algorithms. (AU)

FAPESP's process: 18/23678-6 - Configuration spaces in collision free simultaneous Motion Planning Problem
Grantee:Cesar Augusto Ipanaque Zapata
Support Opportunities: Scholarships abroad - Research Internship - Doctorate