Abstract: Customer flexible pickup of product delivery that includes taking a product order from a customer to a merchant, wherein the customer provides a main delivery address, and providing pickup points to the customer for product delivery. Delivery vehicles with products for the product order are sent into transit. Customer instructions are received for at least one product of the product order to be delivered to at least one pickup point. At least one product is matched to the inventory in the delivery vehicles. Delivery vehicles are matched by inventory and location to the pickup point. At least one product is delivered to the at least one pickup point with matched delivery vehicle. A remainder of products in the product order are delivered to the main delivery address.

Abstract: Identifying critical zones of machines is provided. A digital twin simulation of a machine is performed. An analysis of a set of historical incident records corresponding to the machine is performed to determine areas surrounding the machine that will be impacted by propagation of different types of incidents corresponding to the machine. A task performed by the machine, an operating context of the machine, an aggregate energy of the machine, and an area in the industrial machine environment affected by propagation of released energy from the machine are identified based on the digital twin simulation and the analysis of the set of historical incident records. A set of critical zones corresponding to the machine is identified based on the task performed by the machine, the operating context of the machine, the aggregate energy of the machine, and the area in the industrial machine environment affected by propagation of released energy.

Abstract: A computer implemented method for spacing vehicles. A computer system simulates the vehicles moving on a road using a simulation system. The computer system determines an energy of the vehicles moving on the road using the simulation system. The computer system determines a desired spacing for the vehicles needed to reduce an undesired vehicle contact in response to an unexpected change in driving parameters for a number of the vehicles based on the energy of the vehicles moving on the road using the simulation system. The computer system performs a set of actions for the vehicles using the desired spacing determined for the vehicles.

Abstract: In an approach for improving robotic automation systems, a processor receives a request for a set of materials for an activity to be performed. A processor identifies one or more materials of the set of materials. A processor determines a sequence of operations to move the one or more materials. A processor prompts a first robot to pick a first material at the place of origination using a clamping system and to deposit the first material in a first micro trolley. Responsive to determining an arm of the first robot is in a first orientation, a processor moves the first material along a first track on an arm of a multi-robotic system from the place of origination to the place of destination. A processor prompts a second robot to pick the first material from the first micro trolley at the place of destination using the clamping system.

Abstract: Generating safety level scores of travel parking spots by an AI model trained by supervised learning using labeled online source data and static and dynamic IoT data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of IoT devices in the vicinity of the travel parking spots, generating by the AI model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.

Abstract: A processor may receive application data associated with an application domain architecture. The processor may receive application data associated with an application architecture, wherein the application architecture includes at least one application. The processor may analyze application data for one or more application portions. The processor may identify a level of commonality for each of the one or more application portions. The processor may determine whether the level of commonality of at least two of the one or more application portions exceeds a threshold level. The processor may remove at least one of the at least two of the one or more application portions determined to exceed the threshold level.

Abstract: Systems, methods and/or computer program products for dynamically adjusting levels of data security, encryption enforcement, confidentiality, network policies and other parameters within a network and at processing nodes thereof, implementing heightened levels of security and encryption as needed, based on the type of datasets being processed. Enforcement and removal of data security, encryption requirements, confidentiality, network policies and other parameters at the nodes of the network is performed using headers and footers added to the source dataset. Headers prescribe the heightened level of security or encryption being enforced at each node of the network along the source dataset's flow trajectory, while footers follow the completed processing of the source dataset and indicates to the nodes along the data flow trajectory the conditions for removing the heightened level of security, encryption, confidentiality, network policies and other parameters prescribed by the headers.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing sanitation. The exemplary embodiments may include collecting data of one or more assets, extracting one or more features from the collected data, and evaluating a state of sanitation of the one or more assets based on applying one or more models to the extracted features.

Abstract: According to one embodiment, a method, computer system, and computer program product for selective dataset encryption is provided. The embodiment may include identifying one or more data items within one or more datasets to be moved from network attached storage to cloud-based storage. The embodiment may also include determining an encryption method to be performed on each data item based on a level of confidentiality or sensitivity of each data item. The embodiment may further include sorting each data item into one or more groups based on the determined encryption method. The embodiment may also include performing each determined encryption method to the corresponding group.

Abstract: An embodiment for dynamically creating a vehicle fence is provided. The embodiment may include receiving GPS data from one or more vehicles and a real-time video feed of one or more intersections along a first roadway. The embodiment may also include identifying a number of autonomous vehicles and one or more routes of the autonomous vehicles traveling on the first roadway. The embodiment may further include in response to determining an emergency vehicle is traveling on the first roadway, identifying a route and speed of the emergency vehicle. The embodiment may also include estimating a width of a second roadway intersecting the first roadway at a nearest intersection. The embodiment may further include identifying a moving direction of one or more objects along the second roadway. The embodiment may also include deploying a required number of autonomous vehicles to block the one or more objects from entering the nearest intersection.

Abstract: According to one embodiment, a method, computer system, and computer program product for micro-environment management is provided. The embodiment may include capturing a plurality of carbon emissions data related to a plurality of carbon emissions sources in a micro-environment. The embodiment may also include capturing a plurality of carbon capture data related to a plurality of carbon capture sources in the micro-environment. The embodiment may further include generating a digital twin simulation of the micro-environment based on the plurality of captured emissions data and the plurality of captured carbon capture data. The embodiment may also include calculating a carbon absorption rate of the micro-environment based on the generated digital twin simulation. The embodiment may further include, in response to the calculated carbon absorption rate being below a threshold, generating a plan to increase the calculated carbon absorption rate in the micro-environment.

Abstract: A processor may receive transportation data associated with one or more vehicles and one or more routes having one or more roads. The processor may analyze the transportation data for one or more vehicle capabilities associated with the one or more vehicles and one or more road capabilities associated with the one or more roads of the one or more routes. The processor may generate one or more simulations associated with the one or more roads and the one or more vehicles. The processor may identify an optimal vehicle from the one or more vehicles and an optimal route from the one or more routes. Identifying the optimal vehicle and the optimal route may be based, at least in part, on the one or more simulations. The processor may assign the optimal vehicle to the optimal route.

Abstract: A processor may receive object data associated with an object. The processor may generate one or more simulations using object data. The one or more simulations may be associated with the object. The processor may identify one or more object components associated with the object. Identifying the one or more object components may be based, at least in part, on the one or more simulations. The processor may generate an optimized disassembly plan for the object based on the one or more object components. The optimized disassembly plan may include one or more disassembly stages. The processor may disassemble the object. The object may be disassembled using the optimized disassembling plan.

Abstract: A method for performing a welding procedure includes determining conditions of the welding procedure using a virtual image of a structure on which the welding procedure is to be performed. The method further includes generating specifications for performing the welding procedure based on the conditions. The method further includes generating a virtual reference shape based on the conditions and the specifications, the virtual reference shape generated by modifying the virtual image. The method further includes comparing a resulting shape of the welding procedure with the virtual reference shape. The method further includes determining a quality of the welding procedure based on the comparison. The method further includes storing data pertaining to the welding procedure.

Abstract: A computer-implemented method for dynamic landscape channeling using an autonomous robotic soil dredger. The method derives one or more landscape metrics, wherein the one or more landscape metrics comprise soil metrics, environmental conditions, and vegetation water consumption metrics. The method further generates a digital twin of proposed trench and ridge metrics based on the derived one or more landscape metrics, wherein the proposed trench and ridge metrics comprise a depth of the trench, a distance between one or more trenches, a stream size, a slope of the trench, and a shape of the trench. The method further determines a trench pattern based on the generated digital twin of the proposed trench and ridge metrics and collaborates with the autonomous robotic soil dredger to generate the trench pattern.

Abstract: A method for providing keyword recommendations for a virtual keyboard includes, in responsive to determining a user is interacting with a virtual keyboard, identifying one or more devices associated with text inputted as written content into a text field in a user interface. The method includes identifying one or more portions of the written content relating to data generated by the one or more devices. The method includes identifying one or more portions of the data generated. In response to converting the one or more portions of the data generated to text, the method includes displaying the text for the one or more portions of the data generated by the one or more devices. In response to receiving a text selection with the text, the method includes displaying the text selection with the written content in the text field in the user interface.

Abstract: In an approach to improve data governance and security for digital assets, embodiments apply, based on blockchain based smart contracts, privacy and security policies for a participating heterogeneous digital twin enclosed within predetermined boundaries of a geofence boundary, and apply, based on a hierarchical designation of geofences, hierarchical privacy and security policies to geofences associated with the participating digital twin. Further, embodiments dynamically generate computational and deployment policies based on the applied hierarchical privacy and security policies of the geofenced digital twin, and create dynamic test automation workflows for enhanced security and privacy testing that enumerate security, privacy vulnerabilities or high-risk geospatial areas.

Abstract: A method, computer system, and a computer program product for robot assistance are provided. A computer identifies a position of a first robot in an environment and a range of movement of an arm of the first robot. The computer generates an alignment plan for moving a first conveyor to be aligned with the first robot so that the first conveyor is engageable with the arm of the first robot within the range of movement of the arm. The first conveyor and the first robot include respective supports that are separate from each other. The computer transmits the alignment plan for execution so that the first conveyor is moved according to the alignment plan.

Abstract: A navigation instruction of an autonomous vehicle is detected. The autonomous vehicle is in an environment. The autonomous vehicle is communicatively coupled to a plurality of sensors configured to capture environmental information of the environment. An anomalous sensor status of a first sensor of the plurality of sensors is determined based on the plurality of sensors. An air measurement is identified in response to the anomalous sensor status and based on a second sensor of the plurality of sensors. The air measurement is adjacent to the autonomous vehicle. Autonomous movement operation of the autonomous vehicle is directed in response to the movement instruction and based on the air measurement.

Abstract: A processor may receive worker data associated with a smart environment having one or more workers. The processor may generate a digital twin of the smart environment. The digital twin may be based, at least in part, on the worker data. The processor may simulate the digital twin of the smart environment. The processor may identify, responsive to simulating, a safety score. The safety score may be associated with the one or more workers.