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Improving Efficiency in Mobile Robot Task Planning Through World Abstraction
2004
IEEE Transactions on Robotics
Task planning in mobile robotics should be performed efficiently due to real time requirements of robot-environment interaction. Its computational efficiency depends both on the number of operators (actions the robot can perform without planning) and the size of the world states (descriptions of the world before and after the application of operators). Thus, in real robotic applications where both components can be large, planning may turn inefficient and even unsolvable. In the AI literature
doi:10.1109/tro.2004.829480
dblp:journals/trob/GalindoFG04
fatcat:x2y6jhnd35bnnmkvapegfim6mq