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Robot Map Verification of a Graph World

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In the map verification problem, a robot is given a (possibly incorrect) map M of the world G with its position and orientation indicated on the map. The task is to find out whether this map, for the given robot position and its orientation in the map, is correct for the world G. We consider the world model of a graph G = (VG, EG) in which, for each vertex, edges incident to the vertex are ordered cyclically around that vertex. (This also holds for the map M = (VM, EM).) The robot can traverse edges and enumerate edges incident on the current vertex, but it cannot distinguish vertices (and edges) from each other. To solve the verification problem, the robot uses a portable edge marker, that it can put down at an edge of the graph world G and pick up later as needed. The robot can recognize the edge marker when it encounters it in the world G. By reducing the verification problem to an exploration problem, verification can be completed in O(|VG| x |EG\) edge traversals (the mechanical cost) with the help of a single vertex marker which can be dropped and picked up at vertices of the graph world (G. Dudek, M. Jenkin, E. Milios, and D. Wilkes, IEEE Trans. on Robotics and Automation, vol. 7, pp. 859-865, 1991; Robotics and Autonomous Systems, vol. 22(2), pp. 159-178, 1997). In this paper, we show a strategy that verifies a map in O(|VM|) edge traversals only, using a single edge marker, when M is a plane embedded graph, even though G may not be planar (e.g., G may contain overpasses, tunnels, etc.).
Original languageEnglish
Pages (from-to)383-395
JournalJournal of Combinatorial Optimization
Volume5
Issue number4
DOIs
Publication statusPublished - 2001
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Authors’ research was partly supported by NSERC grants. The authors would like to thank Arlene Ripsman for producing the animated simulation program.

Research Keywords

  • Face tracing
  • On-line algorithm
  • Robot exploration and map verification
  • Topological graph

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