Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Michael A. Sebok"'
Autor:
Michael A. Sebok, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Heterogeneous multi-agent systems can be deployed to complete a variety of tasks, including some that are impossible using a single generic modality. This paper introduces an approach to solving the problem of cooperative behavior planning in small h
Externí odkaz:
https://doaj.org/article/37c02dcfe69646a7ae6864e6ef427c79
Autor:
Herbert G. Tanner, Michael A. Sebok
Publikováno v:
ACC
Tethered mobile robots have for a long time been utilized in search and rescue and operations in inaccessible or hazardous environments. From inspection and cleanup inside nuclear waste tanks to underwater inspection, tethers and umbilical cords have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e4f49ba2eb0d0ef2fcc3583024d293
https://doi.org/10.23919/acc.2019.8815354
https://doi.org/10.23919/acc.2019.8815354
Autor:
Herbert G. Tanner, Kristina Strother-Garcia, Ashkan Zehfroosh, Jeffrey Heinz, Michael A. Sebok, Mai H. Vu
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 5 (2018)
Frontiers in Robotics and AI, Vol 5 (2018)
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings. These model-theoretic representations are the basis of representing formal la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a285625516ac99265db17b4742202d2
https://pubmed.ncbi.nlm.nih.gov/33500955
https://pubmed.ncbi.nlm.nih.gov/33500955