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Cited by 273

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A mobile robot exploration algorithm

Zelinsky, A.·1992·IEEE Transactions on Robotics and Automation

Abstract

An algorithm for path planning to a goal with a mobile robot in an unknown environment is presented. The robot maps the environment only to the extent necessary to achieve the goal. Mapping is achieved using tactile sensing while the robot is executing a path to the specified goal. Paths are generated by treating unknown regions in the environment as free space. As obstacles are encountered en route to a goal, the model of the environment is updated and a new path to the goal is planned and executed. Initially the paths to the goal generated by this algorithm will be negotiable paths. However, as the robot acquires more knowledge about the environment, the length of the planned paths will be optimized. The optimization criteria can be modified to favor or avoid unexplored regions in the environment. The algorithm makes use of the quadtree data structure to model the environment and uses the distance transform methodology to generate paths for the robot to execute.>

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Metadata

Authors
Zelinsky, A.
Venue
IEEE Transactions on Robotics and Automation
Published
1992
Volume
8
Issue
6
Pages
707-717
ISSN
1042-296X (ISSN-L)
OpenAlex
W2163502413
Cited by
273
References
1
FWCI
6.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A mobile robot exploration algorithm. https://app.cochat.ai/papers/10.1109/70.182671
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Zelinsky, A. (1992). A mobile robot exploration algorithm. IEEE Transactions on Robotics and Automation. https://doi.org/10.1109/70.182671

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.