The current state of the art in cognitive robotics, covering the
challenges of building AI-powered intelligent robots inspired by natural
cognitive systems.
A novel approach to building AI-powered intelligent robots takes
inspiration from the way natural cognitive systems--in humans, animals,
and biological systems--develop intelligence by exploiting the full
power of interactions between body and brain, the physical and social
environment in which they live, and phylogenetic, developmental, and
learning dynamics. This volume reports on the current state of the art
in cognitive robotics, offering the first comprehensive coverage of
building robots inspired by natural cognitive systems.
Contributors first provide a systematic definition of cognitive robotics
and a history of developments in the field. They describe in detail five
main approaches: developmental, neuro, evolutionary, swarm, and soft
robotics. They go on to consider methodologies and concepts, treating
topics that include commonly used cognitive robotics platforms and robot
simulators, biomimetic skin as an example of a hardware-based approach,
machine-learning methods, and cognitive architecture. Finally, they
cover the behavioral and cognitive capabilities of a variety of models,
experiments, and applications, looking at issues that range from
intrinsic motivation and perception to robot consciousness.
Cognitive Robotics is aimed at an interdisciplinary audience,
balancing technical details and examples for the computational reader
with theoretical and experimental findings for the empirical scientist.
