An Optimal Any-Angle Pathfinding Algorithm
| dc.contributor.author | Harabor, Daniel | |
| dc.contributor.author | Grastien, Alban | |
| dc.contributor.editor | Daniel Borrajo | |
| dc.contributor.editor | Subbarao Kambhampati | |
| dc.contributor.editor | Angelo Oddi etc | |
| dc.coverage.spatial | Rome Italy | |
| dc.date.accessioned | 2015-12-10T23:19:38Z | |
| dc.date.created | June 10-14 2013 | |
| dc.date.issued | 2013 | |
| dc.date.updated | 2022-08-07T08:18:38Z | |
| dc.description.abstract | Any-angle pathfinding is a common problem from robotics and computer games: it requires finding a Euclidean shortest path between a pair of points in a grid map. Prior research has focused on approximate online solutions. A number of exact methods exist b | |
| dc.identifier.isbn | 9781577356097 | |
| dc.identifier.uri | http://hdl.handle.net/1885/65981 | |
| dc.publisher | AAAI Press | |
| dc.relation.ispartofseries | 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) | |
| dc.source | International Conference on Automated Planning & Scheduling | |
| dc.source.uri | http://www.aiconferences.org/ICAPS/2013/icaps13.html | |
| dc.subject | Keywords: Euclidean shortest path; Exact methods; Game development; Memory overheads; Optimal paths; Path-finding algorithms; Pathfinding; Preprocessing time; Algorithms; Artificial intelligence; Optimization | |
| dc.title | An Optimal Any-Angle Pathfinding Algorithm | |
| dc.type | Conference paper | |
| local.bibliographicCitation.lastpage | 311 | |
| local.bibliographicCitation.startpage | 308 | |
| local.contributor.affiliation | Harabor, Daniel, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Grastien, Alban , College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Harabor, Daniel, u4272656 | |
| local.contributor.authoruid | Grastien, Alban , a230022 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 090602 - Control Systems, Robotics and Automation | |
| local.identifier.absfor | 080101 - Adaptive Agents and Intelligent Robotics | |
| local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
| local.identifier.ariespublication | u4334215xPUB1195 | |
| local.identifier.scopusID | 2-s2.0-84889809573 | |
| local.type.status | Published Version |
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