Abstract: A method of operating a mobile cleaning robot can include navigating the mobile cleaning robot within an environment. A vacuum system of the mobile cleaning robot can be operated to ingest debris from the environment Whether a dispense condition is satisfied can be determined. Fluid can be dispensed from the mobile cleaning robot when the dispense condition is satisfied.

Abstract: A method of object authentication based on digital blueprints and physical fingerprints comprising the steps of acquiring a set of training blueprints and fingerprints, training, object enrollment and object authentication. The method uses a pair of a mapper realized as an encoder and a decoder and a set of multi-metric scores originating from the decomposition of mutual information and applied to both the output of the encoder and decoder and producing a feature vector for a one-class classifier. The method is trained only on the original physical objects and does not use any fakes for reliable authentication.

Abstract: A method of sampling and decoding of a signal of interest x comprising, at a training stage: acquiring a set of training signals {xi}i=1M, providing a sampling operator P? and a decoder g?g(.), training operator P? on signals {xi}i=1M to obtain a learned sampling operator P{circumflex over (?)}; and, at a sampling stage: applying P{circumflex over (?)} in a transform domain ? to signal x, resulting in observation signal y; applying the decoder g?g(.) to y, to produce an estimate {circumflex over (x)} of signal x to decode and/or, decide about, the signal. Decoder g?g(.) is trained jointly with P? on signals {xi}i=1M, to obtain a learned decoder g{circumflex over (?)}g, by jointly determining, during a cost minimization step, sampling parameters ? and decoding parameters ?g according to a cost function, and wherein the step of applying the decoder g?g(.) uses decoding parameters ?g, such that estimate {circumflex over (x)} is produced by the learned decoder g{circumflex over (?)}g.

Abstract: A method of sampling and decoding of a signal of interest x comprising, at a training stage: acquiring a set of training signals {xi}i=1M, providing a sampling operator P? and a decoder g?g(.), training operator P? on signals {xi}i=1M to obtain a learned sampling operator P{circumflex over (?)}; and, at a sampling stage: applying P{circumflex over (?)} in a transform domain ? If to signal x, resulting in observation signal y; applying the decoder g?g(.) to y, to produce an estimate {circumflex over (x)} of signal x to decode and/or, decide about, the signal. Decoder g?g(.) is trained jointly with P? on signals {xi}i=1M, to obtain a learned decoder g?g, by jointly determining, during a cost minimization step, sampling parameters ? and decoding parameters ?gaccording to a cost function, and wherein the step of applying the decoder g?g(.) uses decoding parameters ?g, such that estimate {circumflex over (x)} is produced by the learned decoder g{circumflex over (?)}g.

Abstract: Described herein are assays for determining total suspended solids (TSS) in liquids. Here TSS can be determined by flowing turbid liquid samples in a porous medium. Using such an assay, TSS can be determined with small volumes of liquid and in short times without the need for dedicated optics and instruments. The assays can be used to determine total suspended solids in any liquid medium, for example, the assay can be used in an immunoprecipitin assay to determine the amount of antigen or antibody present in blood or other fluid.