The key to multi-robot exploration is how to select appropriate targets for robots to avoid collision and overlap. However, the distribution of targets for multiple robots is an NP hard problem. This paper presents a multirobot cooperative exploration strategy based on the immune genetic algorithm. With its random global searching and parallel processing, genetic algorithm is applied for multi-...

Motivated by the recent successful results of using GIS modeling in a variety of problems related to the geosciences, some knowledge-based methods were applied to a regional scale mapping of the mineral potential, special for Cu-Au mineralization in the Feyz-Abad area located in the NE of Iran. Mineral Prospectivity Mapping (MPM) is a multi-step process that ranks a promising target area for mo...

During the past 50 years the Bureau de Recherche Géologiques et Minières, (BRGM) has collected a large amount of diverse data during projects for water and h ydrocarbons exploration and underground storage investigations (methane, nuclear-waste, etc.). Societal and environmental issues have had a significant influence on research applied to groundwater exploration and characterization. During t...

OBJECTIVE The number of robots an operator can supervise increases with the robots' level of autonomy. The reported study investigates multirobot foraging to identify aspects of the task most suitable for automation. BACKGROUND Many envisioned applications of robotics involve multirobot teams. One of the simplest of these applications is foraging, in which robots are operated independently to...

Visual search is coordinated adaptively by monitoring and predicting the environment. The supplementary eye field (SEF) plays a role in oculomotor control and outcome evaluation. However, it is not clear whether the SEF is involved in adjusting behavioral modes based on preceding feedback. We hypothesized that the SEF drives exploration-exploitation transitions by generating "surprise signals" ...