Alberto Quattrini Li

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Robotic exploration is an on-line problem in which autonomous mobile robots incrementally discover and map the physical structure of initially unknown environments. Usually, the performance of exploration strategies used to decide where to go next is not compared against the optimal performance obtainable in the test environments, because the latter is(More)
Exploration of unknown environments is relevant for many robotics applications, like map building and coverage. Several works in the literature have proposed exploration strategies that drive a mobile robot to greedily choose where to go next in order to incrementally map an initially unknown environment. In this paper, we theoretically study the worst and(More)
— Autonomous robotic exploration of initially unknown environments is at the basis of several applications, including map building and search and rescue. Despite the many recent works on robotic exploration, an issue that has not been adequately addressed in the literature so far is the evaluation of the impact of the perception (for map update) and(More)