Algorithms, the heart of robotics, form the connection between data collected by sensors and the robotís activities. They also serve as a medium to describe the foundations and principles of robotics.Paper Topics Include: Motion Planning * Navigation * Manipulation * Grasping * Assembly * Controllability * Recognizability * Learning and Distributed Control * Task-Specific Manipulator Design * Simulation of Linkages and Collisions * Completeness and Complexity Measures * Computational Algebra and Geometry
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Robotics involves the combined application of numerous disciplines, including kinematics, dynamics, control and programming. Many researchers see algorithms as an underlying core concept which assimilates these diverse areas into a unique, unified field of study. Robot algorithms, specifically, are abstractions describing motion and perception acts that when executed in the real world achieve goal arrangements of physical objects. Using this mathematical concept as its consolidating theme, this volume brings together a range of papers from scientists in theoretical computer science, computational geometry, robotics, perception, artificial intelligence and mechanical engineering. The editors' goal is to create a new scientific base in robotics research by viewing robotics as a broad field of computation applied to the real world rather than the narrow domain of controlling manipulator arms and mobile robots.
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