Autonomous manipulation is a challenge in robotic technologies.
It refers to the capability of a mobile robot system with one or
more manipulators that performs intervention tasks requiring
physical contacts in unstructured environments and without
continuous human supervision. Achieving autonomous manipulation
capability is a quantum leap in robotic technologies as it is
currently beyond the state of the art in robotics.
This book addresses issues with the complexity of the problems
encountered in autonomous manipulation including representation and
modeling of robotic structures, kinematic and dynamic robotic
control, kinematic and algorithmic singularity avoidance, dynamic
task priority, workspace optimization and environment perception.
Further development in autonomous manipulation should be able to
provide robust improvements of the solutions for all of the above
issues. The book provides an extensive tract on sensory-based
autonomous manipulation for intervention tasks in unstructured
environments. After presenting the theoretical foundations for
kinematic and dynamic modelling as well as task-priority based
kinematic control of multi-body systems, the work is focused on one
of the most advanced underwater vehicle-manipulator system, SAUVIM
(Semi-Autonomous Underwater Vehicle for Intervention Missions).
Solutions to the problem of target identification and localization
are proposed, a number of significant case studies are discussed
and practical examples and experimental/simulation results are
presented. The book may inspire the robot research community to
further investigate critical issues in autonomous manipulation and
to develop robot systems that can profoundly impact our society for
the better."
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