Abstract

Article Randomized query processing in robot path planning Share on Authors: Lydia E. Kavraki Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CA Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CAView Profile , Jean-Claude Latombe Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CA Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CAView Profile , Rajeev Motwani Department of Computer Science, Stanford University, Stanford, CA Department of Computer Science, Stanford University, Stanford, CAView Profile , Prabhakar Raghavan IBM Research Division, T.J. Watson Research Center, Yorktown Heights, NY IBM Research Division, T.J. Watson Research Center, Yorktown Heights, NYView Profile Authors Info & Claims STOC '95: Proceedings of the twenty-seventh annual ACM symposium on Theory of computingMay 1995 Pages 353–362https://doi.org/10.1145/225058.225159Online:29 May 1995Publication History 43citation523DownloadsMetricsTotal Citations43Total Downloads523Last 12 Months12Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Keywords

Computer scienceMotion planningRobotPath (computing)Mobile robotQuery optimizationArtificial intelligenceInformation retrievalComputer network

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Publication Info

Year
1995
Type
article
Pages
353-362
Citations
104
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

104
OpenAlex
4
Influential
46
CrossRef

Cite This

Lydia E. Kavraki, Jean‐Claude Latombe, Rajeev Motwani et al. (1995). Randomized query processing in robot path planning. Proceedings of the twenty-seventh annual ACM symposium on Theory of computing - STOC '95 , 353-362. https://doi.org/10.1145/225058.225159

Identifiers

DOI
10.1145/225058.225159

Data Quality

Data completeness: 81%