Please use this identifier to cite or link to this item:
https://idr.l3.nitk.ac.in/jspui/handle/123456789/15146
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kalburgi S. | |
dc.contributor.author | Nair V.G. | |
dc.contributor.author | Guruprasad K.R. | |
dc.date.accessioned | 2021-05-05T10:16:33Z | - |
dc.date.available | 2021-05-05T10:16:33Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Advances in Intelligent Systems and Computing , Vol. 1148 , , p. 213 - 220 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-981-15-3914-5_16 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/15146 | - |
dc.description.abstract | In this paper, we present an algorithm for automatic tool path generation for milling operations, where, the ‘cutter’ needs to pass through all the region that is required to be removed, without any gaps. We demonstrate the possibility of using mobile robot coverage path planning (CPP) algorithms for such applications. In the place of the robot footprint size that is used in a mobile robot CPP algorithm, here we use the size (diameter) of the tool as basis for the tool path generation. Here, we use a spanning tree-based competitive and truly complete robot coverage path planning algorithm, which is based on the approximate cellular decomposition. The proposed algorithm is first tested in V-Rep simulation environment with an arbitrary work piece and then real-time experiments were carried out on a CNC machine to demonstrate the proposed algorithm. © 2020, Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Application of Coverage Path Planning Algorithm for Milling Operations | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.