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

2020 ◽  
Vol 102 (3) ◽  
pp. 506-516
Author(s):  
CESAR A. IPANAQUE ZAPATA ◽  
JESÚS GONZÁLEZ

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.

2020 ◽  
Vol 12 (03) ◽  
pp. 2050040
Author(s):  
Cesar A. Ipanaque Zapata ◽  
Jesús González

We present optimal motion planning algorithms which can be used in designing practical systems controlling objects moving in Euclidean space without collisions. Our algorithms are optimal in a very concrete sense, namely, they have the minimal possible number of local planners. Our algorithms are motivated by those presented by Mas-Ku and Torres-giese (as streamlined by Farber), and are developed within the more general context of the multitasking (a.k.a. higher) motion planning problem. In addition, an eventual implementation of our algorithms is expected to work more efficiently than previous ones when applied to systems with a large number of moving objects.


2021 ◽  
pp. 1-1
Author(s):  
Camilla Tabasso ◽  
Nicola Mimmo ◽  
Venanzio Cichella ◽  
Lorenzo Marconi

2018 ◽  
Vol 12 (1) ◽  
pp. 103-123 ◽  
Author(s):  
Heikel Yervilla-Herrera ◽  
J. Irving Vasquez-Gomez ◽  
Rafael Murrieta-Cid ◽  
Israel Becerra ◽  
L. Enrique Sucar

2016 ◽  
Vol 49 (23) ◽  
pp. 41-47 ◽  
Author(s):  
N. Crasta ◽  
D. Moreno-Salinas ◽  
M. Bayat ◽  
A.M. Pascoal ◽  
J. Aranda

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