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http://kat354nas3.vsb.cz/icra2018/media/files/1513.pdf
The agents are station keeping unmanned aerial vehi- cles (UAVs) situated at critical observation locations around the disaster site monitoring the ground assets communicating across a first
http://kat354nas3.vsb.cz/iros2018/media/files/0402.pdf
Experimental comparisons with ground truth demonstrate the tracking accuracy of our 3D tracking performance while a mobile augmented reality (AR) demo shows the
http://kat354nas3.vsb.cz/iros2018/media/files/0931.pdf
His method had a significant advantage in computation complexity, which can be used on portable mobile devices. Compared with his method, our optimization-based
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Borenstein, “Minimizing air consumption of pneumatic actuators in mobile robots,” in 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings.
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Kretzschmar, M. Spies, C. Sprunk, and W. Burgard, “Socially compliant mobile robot navigation via inverse reinforcement learning,” The International Journal of Robotics
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Ögren, “Performance Analy- sis of Stochastic Behavior Trees,” in Robotics and Automation (ICRA), 2014 IEEE International Conference on, June 2014. [12] R. Brooks, “A robust layered control system
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Detail BOROVEC, Karel; GORECKI, Jerzy a OCHODEK, Tadeáš. Tests and Comparison of Two Mobile Industrial Analytical Systems for Mercury Speciation in Flue Gas. In:
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Roy, “Understanding natural language commands for robotic navigation and mobile manipulation.” in The Twenty-Fifth AAAI Conference on Artificial Intelligence, vol.
http://kat354nas3.vsb.cz/icra2018/media/files/1023.pdf
Rybus, et al., “A 2D Microgravity Test Bed for the Validation of Space Robot Control Algorithms,” Journal of Automation, Mobile Robotics & Intelligent Systems,
http://kat354nas3.vsb.cz/iros2018/media/files/2844.pdf
Hsiao, “Grasp evaluation with gras- pable feature matching,” in RSS Workshop on Mobile Manipulation: Learning to Manipulate, 2011. [27] I. Lenz, H. Lee, and A. Saxena,
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We are also influenced by research on collaborative planning with pedestrians for navigating a mobile robot in a social environment [16], [17]. Our work is most
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Campbell, and R. Olfati-Saber, “CaliBree: A self-calibration system for mobile sensor networks,” in Lecture Notes in Comp. Science, vol. 5067 LNCS, 2008, pp. 314–331.
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KU�ERA, Miroslav et al. Programov�n� na Webu. 2. vyd�n�. Praha : Mobil Media a.s., 2003. 600 s. ISBN 80-86593-36-3. WEST, Robert. Understanding ArcSDE . Redlands
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Roy, “Understanding natural language commands for robotic navigation and mobile manipulation.” in The Twenty-Fifth AAAI Conference on Artificial Intelligence, vol.
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L., Herder, N., Vrijlandt, T., Antonides, M., Cloosterman, and P. L. Mastenbroek, “Principle and design of a mobile arm support for people with muscular weakness”,
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V souļasn® dobŊ je ļ²slo urļeno pŚedevġ²m : - pro cizince (neznaj² n§rodn² t²sŔov§ ļ²sla) - pro situace, kdy: mobiln² oper§tor volaj²c²ho nem§ v dan®m m²stŊ pokryt² (pokud m§ v dan® lokalitŊ
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V souļasn® dobŊ je ļ²slo urļeno pŚedevġ²m : - pro cizince (neznaj² n§rodn² t²sŔov§ ļ²sla) - pro situace, kdy: mobiln² oper§tor volaj²c²ho nem§ v dan®m m²stŊ pokryt² (pokud m§ v dan® lokalitŊ
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Detail BRANDŠTETTER, Pavel; CHLEBIŠ, Petr; MICHALÍK, Jan a VANĚK, Jan. System for Monitoring and Data Transmission from Mobile Devices. In: International Conference
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Devices designed for layered manu- facturing can be divided into stationary (free-standing, placed on a running platform or fixed to a base) and mobile (most commonly
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Detail KUKULIAČ, Pavel; HORÁK, Jiří; GOLEJ, Peter; KVAPIL, Tomáš a ORLÍKOVÁ, Lucie. URBAN SPACE MOBILITY MAPPING FOR SENIORS: TESTING OF MOBILE APPLICATIONS. In: