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Abstract:
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Algorithms and paradigms for developing embedded systems that are able to operate autonomously for years at a time within harsh and uncertain environments. Focus on systems that demonstrate high levels of deduction and adaptation. Draws upon a diverse set of computational methods from artificial intelligence, operations research, software engineering, and control. Topics include: real-time deduction and search, automated planning, scheduling and execution, model-based diagnosis and failure recovery, reactive planning, hybrid systems, and agent architectures. |
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Keywords:
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cognitive robotics, robotic systems, intelligence algorithms, robustness algorithms, intelligence paradigms, robustness paradigms, autonomous robots, mars explorers, cooperative air vehicles, embedded devices, real-time deduction, real-time search, temporal planning, decision-theoretic planning, contingency planning, dynamic execution, dynamics re-planning, reasoning, path planning, reasoning under uncertainty, mapping, localization, cooperative robotics, distributed robotics, mars exploration rover, nursebot, museum tourguide, human-interaction systems, navigation, state-aware robots, fast planning, cooperative planning, vision-based exploration, preplanning, 16.412J, 6.834J, 16.412, 6.834, 110102, Artificial Intelligence and Robotics |