Search: onr:"swepub:oai:DiVA.org:kth-44358" >
Path planning using...
-
Lingelbach, FrankKTH,Signaler, sensorer och system
(author)
Path planning using probabilistic cell decomposition
- Article/chapterEnglish2004
Publisher, publication year, extent ...
Numbers
-
LIBRIS-ID:oai:DiVA.org:kth-44358
-
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-44358URI
-
https://doi.org/10.1109/ROBOT.2004.1307193DOI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:kon swepub-publicationtype
Notes
-
QC 20111024
-
In this paper we present a new approach to path planning in high-dimensional static configuration spaces. The concept of cell decomposition is combined with probabilistic sampling to obtain a method called Probabilistic Cell Decomposition (PCD). The use of lazy evaluation techniques and supervised sampling in important areas leads to a very competitive path planning method. It is shown that PCD is probabilistic complete. PCD is easily scalable and applicable to many different kinds of problems. Experimental results show that PCD performs well under various conditions. Rigid body movements, maze like problems as well as path planning problems for chain-like robotic platforms have been solved successfully using the proposed algorithm.
Added entries (persons, corporate bodies, meetings, titles ...)
-
KTHSignaler, sensorer och system
(creator_code:org_t)
Related titles
-
In:2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, s. 467-4720780382323
Internet link
Find in a library
To the university's database