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In this paper, the recent results of the space project IMPERA are presented. The goal of IMPERA is the development of a multirobot planning and plan execution architecture with a focus on a lunar sample collection scenario in an unknown environment. We describe the implementation and verification of different modules that are integrated into a distributed system architecture. The modules include a mission planning approach for a multirobot system and modules for task and skill execution within a lunar use‐case scenario. The skills needed for the test scenario include cooperative exploration and mapping strategies for an unknown environment, the localization and classification of sample containers using a novel approach of semantic perception, and the skill of transporting sample containers to a collection point using a mobile manipulation robot. Additionally, we present our approach of a reliable communication framework that can deal with communication loss during the mission. Several modules are tested within several experiments in the domain of planning and plan execution, communication, coordinated exploration, perception, and object transportation. An overall system integration is tested on a mission scenario experiment using three robots.

Unmanned Aerial Vehicle has been adopted in various different areas starting from hobby photography to professional measurement techniques. This paper focuses on the potential of using UAV for agriculture and agroindustry to improve the overall productivity and reducing the overall product cost. It provides brief overview of available UAV systems on the market including their sensors and capabilities. More important is the software part and required algorithms for controlling the AUV in such way that it becomes intelligent. The more advanced the software the more intelligent is the AUV. Some of available algorithms and applications for this purpose are discussed in this paper.

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