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This book focuses on a critical issue in the study of physical
agents, whether natural or artificial: the quantitative modelling
of sensory-motor coordination. Adopting a novel approach, it
defines a common scientific framework for both the intelligent
systems designed by engineers and those that have evolved
naturally. As such it contributes to the widespread adoption of a
rigorous quantitative and refutable approach in the scientific
study of 'embodied' intelligence and cognition. More than 70 years
after Norbert Wiener's famous book Cybernetics: or Control and
Communication in the Animal and the Machine (1948), robotics, AI
and life sciences seem to be converging towards a common model of
what we can call the 'science of embodied intelligent/cognitive
agents'. This book is interesting for an interdisciplinary
community of researchers, technologists and entrepreneurs working
at the frontiers of robotics and AI, neuroscience and general life
and brain sciences.
This book presents interdisciplinary research that pursues the
mutual enrichment of neuroscience and robotics. Building on
experimental work, and on the wealth of literature regarding the
two cortical pathways of visual processing - the dorsal and ventral
streams - we define and implement, computationally and on a real
robot, a functional model of the brain areas involved in
vision-based grasping actions. Grasping in robotics is largely an
unsolved problem, and we show how the bio-inspired approach is
successful in dealing with some fundamental issues of the task. Our
robotic system can safely perform grasping actions on different
unmodeled objects, denoting especially reliable visual and
visuomotor skills. The computational model and the robotic
experiments help in validating theories on the mechanisms employed
by the brain areas more directly involved in grasping actions. This
book offers new insights and research hypotheses regarding such
mechanisms, especially for what concerns the interaction between
the dorsal and ventral streams. Moreover, it helps in establishing
a common research framework for neuroscientists and roboticists
regarding research on brain functions.
This book presents interdisciplinary research that pursues the
mutual enrichment of neuroscience and robotics. Building on
experimental work, and on the wealth of literature regarding the
two cortical pathways of visual processing - the dorsal and ventral
streams - we define and implement, computationally and on a real
robot, a functional model of the brain areas involved in
vision-based grasping actions. Grasping in robotics is largely an
unsolved problem, and we show how the bio-inspired approach is
successful in dealing with some fundamental issues of the task. Our
robotic system can safely perform grasping actions on different
unmodeled objects, denoting especially reliable visual and
visuomotor skills. The computational model and the robotic
experiments help in validating theories on the mechanisms employed
by the brain areas more directly involved in grasping actions. This
book offers new insights and research hypotheses regarding such
mechanisms, especially for what concerns the interaction between
the dorsal and ventral streams. Moreover, it helps in establishing
a common research framework for neuroscientists and roboticists
regarding research on brain functions.
Robot manipulation is a great challenge; it encompasses versatility
-adaptation to different situations-, autonomy -independent robot
operation-, and dependability -for success under modeling or
sensing errors. A complete manipulation task involves, first, a
suitable grasp or contact configuration, and the subsequent motion
required by the task. This monograph presents a unified framework
by introducing task-related aspects into the knowledge-based grasp
concept, leading to task-oriented grasps. Similarly, grasp-related
issues are also considered during the execution of a task, leading
to grasp-oriented tasks which is called framework for physical
interaction (FPI). The book presents the theoretical framework for
the versatile specification of physical interaction tasks, as well
as the problem of autonomous planning of these tasks. A further
focus is on sensor-based dependable execution combining three
different types of sensors: force, vision and tactile. The FPI
approach allows to perform a wide range of robot manipulation
tasks. All contributions are validated with several experiments
using different real robots placed on household environments; for
instance, a high-DoF humanoid robot can successfully operate
unmodeled mechanisms with widely varying structure in a general way
with natural motions. This research was recipient of the European
Georges Giralt Award and the Robotdalen Scientific Award Honorary
Mention.
Robot manipulation is a great challenge; it encompasses versatility
-adaptation to different situations-, autonomy -independent robot
operation-, and dependability -for success under modeling or
sensing errors. A complete manipulation task involves, first, a
suitable grasp or contact configuration, and the subsequent motion
required by the task. This monograph presents a unified framework
by introducing task-related aspects into the knowledge-based grasp
concept, leading to task-oriented grasps. Similarly, grasp-related
issues are also considered during the execution of a task, leading
to grasp-oriented tasks which is called framework for physical
interaction (FPI). The book presents the theoretical framework for
the versatile specification of physical interaction tasks, as well
as the problem of autonomous planning of these tasks. A further
focus is on sensor-based dependable execution combining three
different types of sensors: force, vision and tactile. The FPI
approach allows to perform a wide range of robot manipulation
tasks. All contributions are validated with several experiments
using different real robots placed on household environments; for
instance, a high-DoF humanoid robot can successfully operate
unmodeled mechanisms with widely varying structure in a general way
with natural motions. This research was recipient of the European
Georges Giralt Award and the Robotdalen Scientific Award Honorary
Mention.
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Tasks and Methods in Applied Artificial Intelligence - 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-98-AIE, Benicassim, Castellon, Spain, June, 1998 Proceedings, Volume II (Paperback, 1998 ed.)
Angel P. Del Pobil, Jose Mira, Ali Moonis
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R3,167
Discovery Miles 31 670
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Ships in 10 - 15 working days
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This two-volume set constitutes the refereed proceedings of the
11th International Conference on Industrial and Engineering
Applications of Artificial Intelligence and Expert Systems,
IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The
two volumes present a total of 187 revised full papers selected
from 291 submissions. In accordance with the conference, the books
are devoted to new methodologies, knowledge modeling and hybrid
techniques. The papers explore applications from virtually all
subareas of AI including knowledge-based systems, fuzzyness and
uncertainty, formal reasoning, neural information processing,
multiagent systems, perception, robotics, natural language
processing, machine learning, supervision and control systems,
etc..
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Methodology and Tools in Knowledge-Based Systems - 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-98-AIE, Benicassim, Castellon, Spain, June, 1998 Proceedings, Volume I (Paperback, 1998 ed.)
Angel P. Del Pobil, Jose Mira, Ali Moonis
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R3,154
Discovery Miles 31 540
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Ships in 10 - 15 working days
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This two-volume set constitutes the refereed proceedings of the
11th International Conference on Industrial and Engineering
Applications of Artificial Intelligence and Expert Systems,
IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The
two volumes present a total of 187 revised full papers selected
from 291 submissions. In accordance with the conference, the books
are devoted to new methodologies, knowledge modeling and hybrid
techniques. The papers explore applications from virtually all
subareas of AI including knowledge-based systems, fuzzyness and
uncertainty, formal reasoning, neural information processing,
multiagent systems, perception, robotics, natural language
processing, machine learning, supervision and control systems,
etc..
This book is devoted to the development of adequate spatial
representations for robot motion planning. Drawing upon advanced
heuristic techniques from AI and computational geometry, the
authors introduce a general model for spatial representation of
physical objects. This model is then applied to two key problems in
intelligent robotics: collision detection and motion planning. In
addition, the application to actual robot arms is kept always in
mind, instead of dealing with simplified models.
This monograph is built upon Angel del Pobil's PhD thesis which was
selected as the winner of the 1992 Award of the Spanish Royal
Academy of Doctors.
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From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellon, Spain, July 22-25, 2014, Proceedings (Paperback, 2014 ed.)
Angel P. Del Pobil, Eris Chinellato, Ester Martinez-Martin, John Hallam, Enric Cervera, …
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R2,591
Discovery Miles 25 910
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 13th International
Conference on Simulation of Adaptive Behavior, SAB 2014, held in
Castellon, Spain, in July 2014. The 32 papers presented in this
volume were carefully reviewed and selected for inclusion in the
proceedings. They cover the main areas in animat research,
including the animat approach and methodology, perception and motor
control, navigation and internal world models, learning and
adaptation, evolution and collective and social behavior.
This work proposes a complete sensor-independent visual system that
provides robust target motion detection. First, the way sensors
obtain images, in terms of resolution distribution and pixel
neighbourhood, is studied. This allows a spatial analysis of motion
to be carried out. Then, a novel background maintenance approach
for robust target motion detection is implemented. Two different
situations are considered: a fixed camera observing a constant
background where objects are moving; and a still camera observing
objects in movement within a dynamic background. This distinction
lies on developing a surveillance mechanism without the constraint
of observing a scene free of foreground elements for several
seconds when a reliable initial background model is obtained, as
that situation cannot be guaranteed when a robotic system works in
an unknown environment. Other problems are also addressed to
successfully deal with changes in illumination, and the distinction
between foreground and background elements.
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