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Items: 1 to 20 of 81

1.

Semantic framework for social robot self-configuration.

Azkune G, Orduña P, Laiseca X, Castillejo E, López-de-Ipiña D, Loitxate M, Azpiazu J.

Sensors (Basel). 2013 May 28;13(6):7004-20. doi: 10.3390/s130607004.

2.

A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality.

Huang X, Yi J, Chen S, Zhu X.

Sensors (Basel). 2015 Nov 19;15(11):29273-96. doi: 10.3390/s151129273.

3.

Building a Relationship between Robot Characteristics and Teleoperation User Interfaces.

Mortimer M, Horan B, Seyedmahmoudian M.

Sensors (Basel). 2017 Mar 14;17(3). pii: E587. doi: 10.3390/s17030587.

4.

Life-long optimization of the symbolic model of indoor environments for a mobile robot.

Galindo C, Fernández-Madrigal JA, González J, Saffiotti A, Buschka P.

IEEE Trans Syst Man Cybern B Cybern. 2007 Oct;37(5):1290-304.

PMID:
17926710
5.

Building an Enhanced Vocabulary of the Robot Environment with a Ceiling Pointing Camera.

Rituerto A, Andreasson H, Murillo AC, Lilienthal A, Guerrero JJ.

Sensors (Basel). 2016 Apr 7;16(4). pii: E493. doi: 10.3390/s16040493.

6.

Control architecture for human-robot integration: application to a robotic wheelchair.

Galindo C, Gonzalez J, Fernández-Madrigal JA.

IEEE Trans Syst Man Cybern B Cybern. 2006 Oct;36(5):1053-67.

PMID:
17036812
7.

Sensor Fusion Based Model for Collision Free Mobile Robot Navigation.

Almasri M, Elleithy K, Alajlan A.

Sensors (Basel). 2015 Dec 26;16(1). pii: E24. doi: 10.3390/s16010024.

8.

Design of an HF-Band RFID System with Multiple Readers and Passive Tags for Indoor Mobile Robot Self-Localization.

Mi J, Takahashi Y.

Sensors (Basel). 2016 Jul 29;16(8). pii: E1200. doi: 10.3390/s16081200.

9.

A Semantic Approach with Decision Support for Safety Service in Smart Home Management.

Huang X, Yi J, Zhu X, Chen S.

Sensors (Basel). 2016 Aug 3;16(8). pii: E1224. doi: 10.3390/s16081224.

10.

SLAM algorithm applied to robotics assistance for navigation in unknown environments.

Cheein FA, Lopez N, Soria CM, di Sciascio FA, Pereira FL, Carelli R.

J Neuroeng Rehabil. 2010 Feb 17;7:10. doi: 10.1186/1743-0003-7-10.

11.

The Synthetic Moth: A Neuromorphic Approach toward Artificial Olfaction in Robots.

Vouloutsi V, Lopez-Serrano LL, Mathews Z, Escuredo Chimeno A, Ziyatdinov A, Perera i Lluna A, Bermúdez i Badia S, Verschure PFMJ.

In: Persaud KC, Marco S, Gutiérrez-Gálvez A, editors. Neuromorphic Olfaction. Boca Raton (FL): CRC Press/Taylor & Francis; 2013. Chapter 4.

12.

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

El-Sappagh S, Elmogy M, Riad AM.

Artif Intell Med. 2015 Nov;65(3):179-208. doi: 10.1016/j.artmed.2015.08.003. Epub 2015 Aug 14.

PMID:
26303105
13.
14.

Evidence Brief: The Effectiveness Of Mandatory Computer-Based Trainings On Government Ethics, Workplace Harassment, Or Privacy And Information Security-Related Topics.

Peterson K, McCleery E.

VA Evidence-based Synthesis Program Evidence Briefs [Internet]. Washington (DC): Department of Veterans Affairs (US); 2011-.
2014 May.

15.

Dynamic composition of semantic pathways for medical computational problem solving by means of semantic rules.

Bratsas C, Bamidis P, Kehagias DD, Kaimakamis E, Maglaveras N.

IEEE Trans Inf Technol Biomed. 2011 Mar;15(2):334-43. doi: 10.1109/TITB.2010.2091645. Epub 2011 Feb 17.

PMID:
21335316
16.

Localization of mobile robots using odometry and an external vision sensor.

Pizarro D, Mazo M, Santiso E, Marron M, Jimenez D, Cobreces S, Losada C.

Sensors (Basel). 2010;10(4):3655-80. doi: 10.3390/s100403655. Epub 2010 Apr 13.

17.

Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of Cerebrotendinous xanthomatosis.

Taboada M, Martínez D, Pilo B, Jiménez-Escrig A, Robinson PN, Sobrido MJ.

BMC Med Inform Decis Mak. 2012 Jul 31;12:78. doi: 10.1186/1472-6947-12-78.

18.

Real-time multiple human perception with color-depth cameras on a mobile robot.

Zhang H, Reardon C, Parker LE.

IEEE Trans Cybern. 2013 Oct;43(5):1429-41. doi: 10.1109/TCYB.2013.2275291. Epub 2013 Aug 21.

PMID:
23974672
19.

Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution.

Boteanu A, St Clair A, Mohseni-Kabir A, Saldanha C, Chernova S.

Big Data. 2016 Dec;4(4):217-235.

PMID:
27992263
20.

An ontology-driven semantic mashup of gene and biological pathway information: application to the domain of nicotine dependence.

Sahoo SS, Bodenreider O, Rutter JL, Skinner KJ, Sheth AP.

J Biomed Inform. 2008 Oct;41(5):752-65. doi: 10.1016/j.jbi.2008.02.006. Epub 2008 Feb 29.

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