An architecture for indoor location-aided services based on collaborative industrial robotic platforms

An essential component in the intelligent wireless processing for the future industrial halls will be the data labelling with location information. The location information will facilitate not only the remote control and autonomy of the industrial robots and sensors, but it will also enable predictive control and maintenance, increased productivity, and increased workers' safety. The data labelling is typically a tedious and costly process when done manually or semi-automatically, and the fully automated data labelling has still to overcome several challenges that we describe in this paper. We propose a collaborative robotic architecture equipped with simultaneous localization and mapping as well as machine-learning-based algorithms. A scenario in an industrial setting is presented, in which data acquisition by robots, with various capabilities, can be used to enable location-based services for increased workers' safety and to offer timely tracking of mobile assets for an increased productivity. The robotic platform acquires data during the periods when the robots are not allocated to their main tasks. Besides, we demonstrate that the above mentioned robotic platform could benefit from machine learning, for example, the accurate estimation of positions and good adaption in different type of collected data sets.acceptedVersionPeer reviewe

Changes in chlorophyll fluorescence parameters and oxidative stress responses of bush bean genotypes for selecting contrasting acclimation strategies under water stress

Drought resistance of bean landraces was compared in order to select genotypes with either high morphological or high biochemical-physiological plasticity. The lines in the former group exhibited fast reduction in fresh and dry mass, decreased the water potential in primary leaves after irrigation withdrawal and the biomass mobilized from the senescent primary leaves was allocated into the roots. These genotypes had high frequency of primary leaf abscission under water stress. The genotypes with plasticity at the biochemical level maintained high water potential and photochemical efficiency, i.e. effective quantum yield, high photochemical (qP) and low non-hotochemical (NPQ) quenching in primary leaves under drought stress. While superoxide dismutase activity was not influenced by the drought and the genotype, catalase activity increased significantly in the primary leaves of the genotypes with efficient biochemical adaptation. Lines with high morphological plasticity exhibited higher quaiacol peroxidase activity under drought. Proline may accumulate in both cases, thus it may be a symptom of protein degradation or a successful osmotic adaptation. On the basis of contrasting responses, the genetic material cannot be screened for a large-scale breeding program by a single physiological parameter but by a set of the methods presented in this work