Intrinsic and environmental factors modulating autonomous robotic search under high uncertainty.

ABSTRACT: Autonomous robotic search problems deal with different levels of uncertainty. When uncertainty is low, deterministic strategies employing available knowledge result in most effective searches. However, there are domains where uncertainty is always high since information about robot location, environment boundaries or precise reference points is unattainable, e.g., in cave, deep ocean, planetary exploration, or upon sensor or communications impairment. Furthermore, latency regarding when search targets move, appear or disappear add to uncertainty sources. Here we study intrinsic and environmental factors that affect low-informed robotic search based on diffusive Brownian, naive ballistic, and superdiffusive strategies (Lévy walks), and in particular, the effectiveness of their random explor

SUBMITTER: Garcia-Saura C 

PROVIDER: S-EPMC8720098 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature