4,360 research outputs found
BAREMO: How to Choose the Appropriate Software Component Using the Analytic Hierarchy Process
To select a software component from several similar candidates is a complex task, since each project pursues different objectives. We intend to use the Analytic Hierarchy Process in the taking of multicriteria decisions for software component reuse. This method is called BAREMO. It will help the software engineer to make estimations which will enable him/her to choose the appropriate component. The article presents a case study of the application of the method, where a project manager assesses a certain software component in order to consider its reuse in the domain of image processing
Selection of Ontologies for the Semantic Web
The development of the Semantic Web has encouraged the creation of ontologies in a great variety of domains. Web users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to measure that the most appropriate ontologies for the new system are. To solve this deficiency, this work proposes a method which allows the users to measure the suitability of the existent ontologies, regarding the requirements of their systems
Provably Safe Robot Navigation with Obstacle Uncertainty
As drones and autonomous cars become more widespread it is becoming
increasingly important that robots can operate safely under realistic
conditions. The noisy information fed into real systems means that robots must
use estimates of the environment to plan navigation. Efficiently guaranteeing
that the resulting motion plans are safe under these circumstances has proved
difficult. We examine how to guarantee that a trajectory or policy is safe with
only imperfect observations of the environment. We examine the implications of
various mathematical formalisms of safety and arrive at a mathematical notion
of safety of a long-term execution, even when conditioned on observational
information. We present efficient algorithms that can prove that trajectories
or policies are safe with much tighter bounds than in previous work. Notably,
the complexity of the environment does not affect our methods ability to
evaluate if a trajectory or policy is safe. We then use these safety checking
methods to design a safe variant of the RRT planning algorithm.Comment: RSS 201
Sampling-Based Methods for Factored Task and Motion Planning
This paper presents a general-purpose formulation of a large class of
discrete-time planning problems, with hybrid state and control-spaces, as
factored transition systems. Factoring allows state transitions to be described
as the intersection of several constraints each affecting a subset of the state
and control variables. Robotic manipulation problems with many movable objects
involve constraints that only affect several variables at a time and therefore
exhibit large amounts of factoring. We develop a theoretical framework for
solving factored transition systems with sampling-based algorithms. The
framework characterizes conditions on the submanifold in which solutions lie,
leading to a characterization of robust feasibility that incorporates
dimensionality-reducing constraints. It then connects those conditions to
corresponding conditional samplers that can be composed to produce values on
this submanifold. We present two domain-independent, probabilistically complete
planning algorithms that take, as input, a set of conditional samplers. We
demonstrate the empirical efficiency of these algorithms on a set of
challenging task and motion planning problems involving picking, placing, and
pushing
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
Many planning applications involve complex relationships defined on
high-dimensional, continuous variables. For example, robotic manipulation
requires planning with kinematic, collision, visibility, and motion constraints
involving robot configurations, object poses, and robot trajectories. These
constraints typically require specialized procedures to sample satisfying
values. We extend PDDL to support a generic, declarative specification for
these procedures that treats their implementation as black boxes. We provide
domain-independent algorithms that reduce PDDLStream problems to a sequence of
finite PDDL problems. We also introduce an algorithm that dynamically balances
exploring new candidate plans and exploiting existing ones. This enables the
algorithm to greedily search the space of parameter bindings to more quickly
solve tightly-constrained problems as well as locally optimize to produce
low-cost solutions. We evaluate our algorithms on three simulated robotic
planning domains as well as several real-world robotic tasks.Comment: International Conference on Automated Planning and Scheduling (ICAPS)
202
Ressenyes
Obra ressenyada: Philip PETTIT, On the People's Terms: a Republican Theory and Model of Democracy. Cambridge: Cambridge University Press, 2012
Propietat i llibertat al pensament social grecollatí
Els plans d'estudi de la carrera de sociologia al nostre país obvien l'ensenyament, a les assignatures
d'història de la teoria social, de l'obra dels pensadors socials de la Grècia i la
Roma clàssiques, quan en realitat aquesta conté la major part de les idees i hipòtesis que
van servir a autors com Karl Marx per a bastir la moderna ciència social. Un estudi acurat
de la seva obra revela, en particular, la centralitat que concedien, en el marc de la vida social,
als conflictes de classe. Uns conflictes l'origen dels quals situaven inequívocament en
la desigual distribució de la propietat, la qual deixava els elements més pobres de la societat
en un estat de dependència respecte dels individus més rics. Dependència que, segons
aquests autors, els definia com a no lliures i en conseqüència els inhabilitava per a la participació
a la vida pública.The study plans of the Sociology career in our country forget the teaching, in the subjects
of history of social theory, of the Greek and Roman social thinkers works, while actually it
contains most of the ideas and hypotheses that enabled authors as Karl Marx to construct
the modern Social Science. A careful study of their work reveals, especially, the importance
they granted, in everything which deals with social life, to the class struggle. A conflict the
origin of which they placed unequivocally in the unequal distribution of the property, which
was placing the poorest elements of the society in a dependence condition under the rule
of the richest individuals. Dependence which, according to these authors, defined them as
non-free, so disqualified them for the participation in the public life.Los planes de estudio de la carrera de sociología en nuestro país obvian la enseñanza, en las
asignaturas de historia de la teoría social, de la obra de los pensadores sociales de la Grecia
y la Roma clásicas, cuando en realidad ésta contiene la mayor parte de las ideas e hipótesis
que sirvieron a autores como Karl Marx para construir la moderna ciencia social. Un estudio
cuidadoso de su obra revela, en particular, la centralidad que concedían, en el marco de
la vida social, a los conflictos de clase. Unos conflictos cuyo origen situaban inequívocamente
en la desigual distribución de la propiedad, la cual dejaba a los elementos más pobres
de la sociedad en un estado de dependencia respecto de los individuos más ricos. Dependencia que, según estos autores, los definía como no libres y en consecuencia los inhabilitaba
para la participación en la vida pública
El centro artesanal de iberorromano de la Maralaga (Sinarcas, Valencia)
En este artículo se ofrece una visión general sobre un horno alfarero iberorromano, perteneciente al territorio de Kelin. El estudio se centra en la caracterización de su producción cerámica. en la precisión de su cronología y en la distribución de sus productos en el territorio
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