121,444 research outputs found
Special issue about advances in Physical Agents
Nowadays, there are a lot of Spanish groups which are doing research in areas related with physical agents: they use agent-based technologies concepts, especially industrial applications, robotics and domotics (physical agents) and applications related to the information society, (software agents) highlighting the similarities and synergies among physical and software agents. In this special issue we will show several works from those groups, focusing on the recent advances in Physical Agents
Philosophy and theory of artificial intelligence 2017
This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing
Socially Cognizant Robotics for a Technology Enhanced Society
Emerging applications of robotics, and concerns about their impact, require
the research community to put human-centric objectives front-and-center. To
meet this challenge, we advocate an interdisciplinary approach, socially
cognizant robotics, which synthesizes technical and social science methods. We
argue that this approach follows from the need to empower stakeholder
participation (from synchronous human feedback to asynchronous societal
assessment) in shaping AI-driven robot behavior at all levels, and leads to a
range of novel research perspectives and problems both for improving robots'
interactions with individuals and impacts on society. Drawing on these
arguments, we develop best practices for socially cognizant robot design that
balance traditional technology-based metrics (e.g. efficiency, precision and
accuracy) with critically important, albeit challenging to measure, human and
society-based metrics
Proceedings of the 1st Standardized Knowledge Representation and Ontologies for Robotics and Automation Workshop
Welcome to IEEE-ORA (Ontologies for Robotics and Automation) IROS workshop. This
is the 1st edition of the workshop on! Standardized Knowledge Representation and
Ontologies for Robotics and Automation. The IEEE-ORA 2014 workshop was held on
the 18th September, 2014 in Chicago, Illinois, USA.
In!the IEEE-ORA IROS workshop, 10 contributions were presented from 7 countries in
North and South America, Asia and Europe. The presentations took place in the
afternoon, from 1:30 PM to 5:00 PM. The first session was dedicated to “Standards for
Knowledge Representation in Robotics”, where presentations were made from the
IEEE working group standards for robotics and automation, and also from the ISO TC
184/SC2/WH7. The second session was dedicated to “Core and Application
Ontologies”, where presentations were made for core robotics ontologies, and also for
industrial and robot assisted surgery ontologies. Three posters were presented in
emergent applications of ontologies in robotics.
We would like to express our thanks to all participants. First of all to the authors,
whose quality work is the essence of this workshop. Next, to all the members of the
international program committee, who helped us with their expertise and valuable
time. We would also like to deeply thank the IEEE-IROS 2014 organizers for hosting
this workshop.
Our deep gratitude goes to the IEEE Robotics and Automation Society, that sponsors!
the IEEE-ORA group activities, and also to the scientific organizations that kindly
agreed to sponsor all the workshop authors work
Artificial Intelligence and Ambient Intelligence
This book includes a series of scientific papers published in the Special Issue on Artificial Intelligence and Ambient Intelligence at the journal Electronics MDPI. The book starts with an opinion paper on “Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules”, presenting relations between information society, electronics and artificial intelligence mainly through twenty-four IS laws. After that, the book continues with a series of technical papers that present applications of Artificial Intelligence and Ambient Intelligence in a variety of fields including affective computing, privacy and security in smart environments, and robotics. More specifically, the first part presents usage of Artificial Intelligence (AI) methods in combination with wearable devices (e.g., smartphones and wristbands) for recognizing human psychological states (e.g., emotions and cognitive load). The second part presents usage of AI methods in combination with laser sensors or Wi-Fi signals for improving security in smart buildings by identifying and counting the number of visitors. The last part presents usage of AI methods in robotics for improving robots’ ability for object gripping manipulation and perception. The language of the book is rather technical, thus the intended audience are scientists and researchers who have at least some basic knowledge in computer science
Project-Based Learning for Robot Control Theory: A Robot Operating System (ROS) Based Approach
Control theory is an important cornerstone of the robotics field and is
considered a fundamental subject in an undergraduate and postgraduate robotics
curriculum. Furthermore, project-based learning has shown significant benefits
in engineering domains, specifically in interdisciplinary fields such as
robotics which require hands-on experience to master the discipline adequately.
However, designing a project-based learning experience to teach control theory
in a hands-on setting can be challenging, due to the rigor of mathematical
concepts involved in the subject. Moreover, access to reliable hardware
required for a robotics control lab, including the robots, sensors, interfaces,
and measurement instruments, may not be feasible in developing countries and
even many academic institutions in the US. The current paper presents a set of
six project-based assignments for an advanced postgraduate Robot Control
course. The assignments leverage the Robot Operating System (ROS), an
open-source set of tools, libraries, and software, which is a de facto standard
for the development of robotics applications. The use of ROS, along with its
physics engine simulation framework, Gazebo, provides a hands-on robotics
experience equivalent to working with real hardware. Learning outcomes include:
i) theoretical analysis of linear and nonlinear dynamical systems, ii)
formulation and implementation of advanced model-based robot control algorithms
using classical and modern control theory, and iii) programming and performance
evaluation of robotic systems on physics engine robot simulators. Course
evaluations and student surveys demonstrate that the proposed project-based
assignments successfully bridge the gap between theory and practice, and
facilitate learning of control theory concepts and state-of-the-art robotics
techniques through a hands-on approach.Comment: 24 pages, 15 figures, accepted for publication in the 2023 ASEE
Annual Conference Proceedings, American Society for Engineering Educatio
Transferability of HRI Research: Potential and Challenges
With advancement of robotics and artificial intelligence, applications for
robotics are flourishing. Human-robot interaction (HRI) is an important area of
robotics as it allows robots to work closer to humans (with them or for them).
One crucial factor for the success of HRI research is transferability, which
refers to the ability of research outputs to be adopted by industry and provide
benefits to society. In this paper, we explore the potentials and challenges of
transferability in HRI research. Firstly, we examine the current state of HRI
research and identify various types of contributions that could lead to
successful outcomes. Secondly, we discuss the potential benefits for each type
of contribution and identify factors that could facilitate industry adoption of
HRI research. However, we also recognize that there are several challenges
associated with transferability, such as the diversity of well-defined
job/skill-sets required from HRI practitioners, the lack of industry-led
research, and the lack of standardization in HRI research methods. We discuss
these challenges and propose potential solutions to bridge the gap between
industry expectations and academic research in HRI.Comment: AAAI Spring Symposium 202
The CLAWAR project
In Europe, there are two main thematic groups focusing on
robotics, the Climbing and Walking Robots (CLAWAR)
project (http://www.clawar.net) and the European Robotics
Network (EURON) project (http://www.euron.org).
The two networks are complementary: CLAWAR is
industrially focused on the immediate needs, and EURON is
focused more on blue skies research. This article presents the activities of the CLAWAR project
The CLAWAR project
In Europe, there are two main thematic groups focusing on
robotics, the Climbing and Walking Robots (CLAWAR)
project (http://www.clawar.net) and the European Robotics
Network (EURON) project (http://www.euron.org).
The two networks are complementary: CLAWAR is
industrially focused on the immediate needs, and EURON is
focused more on blue skies research. This article presents the activities of the CLAWAR project
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