We introduce a new kind of aerial manipulator based on multirotors. This device exploits the rarely used yaw movement which characterizes these aircrafts in order to generate and transmit forces and displacements trough a serial-chain of rigid links and other drones, as if the whole system was a flying robot arm with UAVS as rotational joints. Also we provide comparisons with the existing technologies and a condensed review concerning them. Finally, this paper proposes many open problems in order to develop the final system. Due to the scientific and social impact of this new approach, we provide some application examples.
In this work, a new version of the Harmony Search algorithm for solving multi-objective optimization problems is proposed, MOHSg, with pitch adjustment using genotype. The main contribution consists of adjusting the pitch using the crowding distance by genotype; that is, the distancing in the search space. This adjustment automatically regulates the exploration–exploitation balance of the algorithm, based on the distribution of the harmonies in the search space during the formation of Pareto fronts. Therefore, MOHSg only requires the presetting of the harmony memory accepting rate and pitch adjustment rate for its operation, avoiding the use of a static bandwidth or dynamic parameters. MOHSg was tested through the execution of diverse test functions, and it was able to produce results similar or better than those generated by algorithms that constitute search variants of harmonies, representative of the state-of-the-art in multi-objective optimization with HS.
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