An autonomous robotic system, and method for automatically monitoring the state of shelves in stores, like retail stores or supermarkets are based on a mobile The mobile robot is capable of autonomously navigating the aisles of a store, with the ability to monitor the condition of product shelves. Specifically, the robotic system solves problems associated with the operation of the shelves, mainly with respect to the detection of incorrect or missing price signs, verification of offer signs, detection of product stock, estimation of product layout, and identification of products misplaced or with errors in the spatial extent assigned to the supplier on a shelf.

In one embodiment, a method includes, by a computing system of a vehicle, determining a first temperature of a control unit of the vehicle, wherein the control unit and one or more components of the vehicle are interconnected through a thermal network, determining a thermal objective for the control unit based on the first temperature of the control unit, selecting, based on the thermal objective for the control unit, at least a first component from the one or more components, and sending one or more signals to one or more actuators within the thermal network to enable a heat-transfer fluid to flow between (1) a first portion of the thermal network thermally coupled to the control unit and (2) a second portion of the thermal network thermally coupled to the selected first component.

A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights to a given system or user wherein a diverse set of data objects exists and not all objects contain explicit location information.

Performance measures are predicted for queries to prioritize query performance at a database system. A trained machine learning model for the database system may be applied to a query to determine a predicted performance measure for the query. The predicted performance measure may be compared with other predicted performance measures for other waiting queries to determine a priority for executing the query.

Systems and methods for maintaining and updating file system shadows by a synchronization client of a cloud-based platform. In some embodiments, an executor of the synchronization client can execute an action on an item in the local file system which changes the state of the item from an old state to a new state. The synchronization client updates the file system shadows with the new state of the item via an interface to facilitate generation of a synchronization event for the change to the item, that would otherwise go undetected if the change to the item was immediately reversed. In some embodiments, methods for providing shadow consistency and enhancing concurrent access to shadows are implemented by the synchronization client in maintaining and updating the file system shadows.

A method of fulfilling orders of goods of mixed packs and single packs of the same type. The goods are first stored as single packs of the same type and all of the goods allocated to an order are removed from a specified order storage rack aisle of a storage rack. Goods present in the storage racks required for the order that are not present within the specified order storage rack aisle are transferred into the order storage rack aisle from another storage rack aisle by a transverse transport process. A mixed pack for the order is generated by picking from packs of the same type, and a picking station is supplied with corresponding packs of the same type from the same storage racks, and the mixed pack is stored into the order storage rack aisle. The order, comprising single packs of the same type and mixed packs, is removed from the specified order storage rack aisle.

In an embodiment, the methods and systems disclosed herein utilize a cloud-based service to accept measurements of commercial objects for storage in a database. In an embodiment, commercial objects are automatically grouped based on measured physical characteristics. In an embodiment, a build plan is generated to utilize the maximum amount of space possible in a shipping container based on the grouped commercial objects.

A method and apparatus for criterion-based retention of data object versions are disclosed. In the method and apparatus, a plurality of keys are sorted in accordance with an ordering scheme, whereby a key of the plurality of keys has an associated version of a data object and a timestamp. The key is inspected in accordance with the ordering scheme to determine based at least in part on the timestamp whether a criterion for performing an action on the associated version of the data object is satisfied. If the criterion is satisfied, a marker key is added to the plurality of keys, whereby the marker key precedes the inspected key according to the ordering scheme and indicates that the criterion is satisfied.

A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.

A distributed storage system may synchronously apply an Information Lifecycle Management (ILM) policy to objects at ingest. In one embodiment of synchronous ILM, three options are available for a user: balanced, strict, and dual commit. Dual commit refers to the behavior where one will always create two replicated copies in the same site and then apply ILM asynchronously. Strict refers to the behavior where the storage system attempts to apply the ILM policy synchronously on ingest, and if the storage system cannot the ingest of the object will fail. This ensures that the storage system can guarantee that ILM has been applied to recently ingested objects. Balanced refers to the behavior where the storage system attempts to apply ILM synchronously, but if the storage system cannot the storage system may fall-back to dual-commit.