11,821 research outputs found
On the Integration of Adaptive and Interactive Robotic Smart Spaces
© 2015 Mauro Dragone et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)Enabling robots to seamlessly operate as part of smart spaces is an important and extended challenge for robotics R&D and a key enabler for a range of advanced robotic applications, such as AmbientAssisted Living (AAL) and home automation. The integration of these technologies is currently being pursued from two largely distinct view-points: On the one hand, people-centred initiatives focus on improving the userâs acceptance by tackling human-robot interaction (HRI) issues, often adopting a social robotic approach, and by giving to the designer and - in a limited degree â to the final user(s), control on personalization and product customisation features. On the other hand, technologically-driven initiatives are building impersonal but intelligent systems that are able to pro-actively and autonomously adapt their operations to fit changing requirements and evolving usersâ needs,but which largely ignore and do not leverage human-robot interaction and may thus lead to poor user experience and user acceptance. In order to inform the development of a new generation of smart robotic spaces, this paper analyses and compares different research strands with a view to proposing possible integrated solutions with both advanced HRI and online adaptation capabilities.Peer reviewe
Automated Bidding in Computing Service Markets. Strategies, Architectures, Protocols
This dissertation contributes to the research on Computational Mechanism Design by providing novel theoretical and software models - a novel bidding strategy called Q-Strategy, which automates bidding processes in imperfect information markets, a software framework for realizing agents and bidding strategies called BidGenerator and a communication protocol called MX/CS, for expressing and exchanging economic and technical information in a market-based scheduling system
Enaction-Based Artificial Intelligence: Toward Coevolution with Humans in the Loop
This article deals with the links between the enaction paradigm and
artificial intelligence. Enaction is considered a metaphor for artificial
intelligence, as a number of the notions which it deals with are deemed
incompatible with the phenomenal field of the virtual. After explaining this
stance, we shall review previous works regarding this issue in terms of
artifical life and robotics. We shall focus on the lack of recognition of
co-evolution at the heart of these approaches. We propose to explicitly
integrate the evolution of the environment into our approach in order to refine
the ontogenesis of the artificial system, and to compare it with the enaction
paradigm. The growing complexity of the ontogenetic mechanisms to be activated
can therefore be compensated by an interactive guidance system emanating from
the environment. This proposition does not however resolve that of the
relevance of the meaning created by the machine (sense-making). Such
reflections lead us to integrate human interaction into this environment in
order to construct relevant meaning in terms of participative artificial
intelligence. This raises a number of questions with regards to setting up an
enactive interaction. The article concludes by exploring a number of issues,
thereby enabling us to associate current approaches with the principles of
morphogenesis, guidance, the phenomenology of interactions and the use of
minimal enactive interfaces in setting up experiments which will deal with the
problem of artificial intelligence in a variety of enaction-based ways
A web-based collaboration approach for teaching in medicine
Teaching medicine requires developing a vast range of manual, intellectual, visual and tactile skills
as well as taking into account large amounts of factual information. Traditional medical teaching and individual learning in particular, can be complemented with electronic web based systems. One of the main impacts of e-Teaching in education resides in the fact that it provides opportunities to create resources that turn the learning process flexible. This implies a different relation between
teachers and students and even between institutions, in the sense that the students participate on their own formation and the vertical hierarchy tends to become increasingly more horizontal. Awareness of the knowledge constructing process is increased, and consequently more satisfaction gained from learning. In this paper we describe a webbased
collaboration approach for teaching that is being
developed to simulate conversational dialogue in the area of Medicine, that enables the integration of highly heterogeneous sources of information into a coherent knowledge base accessed from web-based interfaces, either from the tutorâs point of view or the development of the discipline in itself, i.e. the systemâs content is created
automatically by the physicians as their daily work goes on
A Survey of Multi-Agent Human-Robot Interaction Systems
This article presents a survey of literature in the area of Human-Robot
Interaction (HRI), specifically on systems containing more than two agents
(i.e., having multiple humans and/or multiple robots). We identify three core
aspects of ``Multi-agent" HRI systems that are useful for understanding how
these systems differ from dyadic systems and from one another. These are the
Team structure, Interaction style among agents, and the system's Computational
characteristics. Under these core aspects, we present five attributes of HRI
systems, namely Team size, Team composition, Interaction model, Communication
modalities, and Robot control. These attributes are used to characterize and
distinguish one system from another. We populate resulting categories with
examples from recent literature along with a brief discussion of their
applications and analyze how these attributes differ from the case of dyadic
human-robot systems. We summarize key observations from the current literature,
and identify challenges and promising areas for future research in this domain.
In order to realize the vision of robots being part of the society and
interacting seamlessly with humans, there is a need to expand research on
multi-human -- multi-robot systems. Not only do these systems require
coordination among several agents, they also involve multi-agent and indirect
interactions which are absent from dyadic HRI systems. Adding multiple agents
in HRI systems requires advanced interaction schemes, behavior understanding
and control methods to allow natural interactions among humans and robots. In
addition, research on human behavioral understanding in mixed human-robot teams
also requires more attention. This will help formulate and implement effective
robot control policies in HRI systems with large numbers of heterogeneous
robots and humans; a team composition reflecting many real-world scenarios.Comment: 23 pages, 7 figure
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