نتایج جستجو برای: practical demonstration

تعداد نتایج: 278913  

2007
Zhengxiang Pan Abir Qasem Sudhan Kanitkar Fabiana Prabhakar Jeff Heflin

We discuss our DLDB knowledge base system and evaluate its capability in processing a very large set of real-world Semantic Web data. Using DLDB, we have constructed the Hawkeye knowledge base, in which we have loaded more than 166 million facts from a diverse set of real-world data sources. We use this knowledge base to demonstrate realistic integration queries in egovernment and academic scen...

Journal: :I. J. Social Robotics 2012
Halit Bener Suay Russell Toris Sonia Chernova

Research on robot Learning from Demonstration has seen significant growth in recent years, but the field has had only limited evaluation of existing algorithms with respect to algorithm usability by naïve users. In this article we present findings from a user study in which we asked non-expert users to use and evaluate three different robot Learning from Demonstration algorithms. The three algo...

2014
Dennis Ziegenhagen Jörn Kohlus Rainer Roosmann

Distributed geospatial data and services can be used to form Spatial Data Infrastructures (SDI). Current technological developments enable SDI to process large amounts of geospatial data. In this context, Web Processing Services (WPS) can be used as an open interface standard for accessing and executing geospatial processes. Since many SDI are based on Service-Oriented Architectures (SOA), the ...

2000
Gordon W. Paynter Ian H. Witten

This paper describes Familiar, a domain-independent programming by demonstration system for automating iterative tasks in existing, unmodified applications on a popular commercial platform. Familiar is domainindependent in an immediate and practical sense: it requires no domain knowledge from the developer and works immediately with new applications as soon as they are installed. Based on the A...

2001
Raoul Daniel Zöllner Oliver Rogalla Rüdiger Dillmann

2006
Raqueline Ritter de Moura Penteado Sérgio Roberto P. da Silva H. Furuta Muriel de S. Godoi

Motivation Proposal Patterns detection Patterns detection algorithm: empirical analysis Conclusion and limitations Future works

2010
Hyuckchul Jung James Allen William de Beaumont Nate Blaylock George Ferguson Lucian Galescu Mary Swift

An innovative task learning system called PLOW (Procedure Learning On the Web) lets end-users teach procedural tasks to automate their various web activities. Deep natural understanding and mixed-initiative interaction in PLOW makes the teaching process very natural and intuitive while producing efficient/workable procedures.

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