Abstract: Provided are a computer program product, moveable robot block, and method for a moveable robot block deployed to form a barrier and sense environmental conditions. A command is received to couple to a location in a coordinate system comprising the barrier formed of a plurality of moveable robot blocks. Movement motors are controlled to cause the moveable robot block to move to the location in the coordinate system to couple to the barrier according to the command. An environmental sensor senses an environmental condition related to water sensed external to the moveable robot block when the moveable robot block is coupled to the barrier. The environmental condition is transmitted to the assembly management system over the network.

Abstract: Provided are a computer program product, system, and method for controlling moveable robot blocks to dynamically form a barrier. A barrier plan is generated indicating a placement of moveable robot blocks at locations in a coordinate system to form a barrier in a geographical area, wherein the coordinates system indicates locations for the moveable robot blocks to form the barrier. Commands are transmitted to the moveable robot blocks deployed in the geographical area where the barrier is to be formed to cause the moveable robot blocks to move to the locations in the coordinate system in the barrier plan to form the barrier.

Abstract: Described herein are techniques for generating and utilizing drivability maps. The techniques including a method comprising receiving a set of vehicle performance records including a first vehicle performance record comprising a vehicle location, a vehicle configuration, and traction control system information. The method further includes determining, from the set of vehicle performance records, a respective Coefficient of Friction (CoF) value for respective road segments including a first CoF value for a first road segment. The method further includes determining, from the set of vehicle performance records and the respective CoF values, a first CoF threshold for a first vehicle configuration. The method further includes generating a drivability map for the first vehicle configuration indicating different levels of drivability for different road segments based on the respective CoF values for respective road segments and the first CoF threshold for the first vehicle configuration.

Abstract: Described herein are techniques for generating and utilizing drivability maps. The techniques including a method comprising receiving a set of vehicle performance records including a first vehicle performance record comprising a vehicle location, a vehicle configuration, and traction control system information. The method further includes determining, from the set of vehicle performance records, a respective Coefficient of Friction (CoF) value for respective road segments including a first CoF value for a first road segment. The method further includes determining, from the set of vehicle performance records and the respective CoF values, a first CoF threshold for a first vehicle configuration. The method further includes generating a drivability map for the first vehicle configuration indicating different levels of drivability for different road segments based on the respective CoF values for respective road segments and the first CoF threshold for the first vehicle configuration.

Abstract: Provided are a computer program product, moveable robot block, and method for a moveable robot block deployed to form a barrier and sense environmental conditions. A command is received to couple to a location in a coordinate system comprising the barrier formed of a plurality of moveable robot blocks. Movement motors are controlled to cause the moveable robot block to move to the location in the coordinate system to couple to the barrier according to the command. An environmental sensor senses an environmental condition related to water sensed external to the moveable robot block when the moveable robot block is coupled to the barrier. The environmental condition is transmitted to the assembly management system over the network.

Abstract: Provided are a computer program product, system, and method for controlling moveable robot blocks to dynamically form a barrier. A barrier plan is generated indicating a placement of moveable robot blocks at locations in a coordinate system to form a barrier in a geographical area, wherein the coordinates system indicates locations for the moveable robot blocks to form the barrier. Commands are transmitted to the moveable robot blocks deployed in the geographical area where the barrier is to be formed to cause the moveable robot blocks to move to the locations in the coordinate system in the barrier plan to form the barrier.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In an approach to creating assembly plan for disaster mitigation, one or more computer processors identify one or more triggering events. The one or more computer processors receive one or more configuration parameters for one or more assembly plans pertaining to the one or more triggering events. The one or more computer processors analyze the one or more configuration parameters to determine necessary configuration parameters based upon the identified one or more triggering events. The one or more computer processors create the one or more assembly plans containing one or more instructions for one or more self-assembling robots based on the determined necessary configuration parameters. The one or more computer processors send the one or more assembly plans to one or more self-assembling robots.

Abstract: In certain implementations, a system may receive attribute data corresponding to attributes of a plurality of users and to one or more venues for which the plurality of users has an affinity. A user personality matrix may be calculated for one or more of the plurality of users based on interrelational nodal link strengths between the one or more users and the venues. The user personality matrices may be merged to calculate a combined personality matrix representing a unified taste profile for the one or more users. A candidate list of venues having the highest link strength with the combined personality matrix may be determined. One or more recommended venues from the candidate list of venues that have the strongest links to the combined personality matrix may be determined, and recommendation data corresponding to the recommended venues may be output.

Abstract: In certain implementations, a system may receive attribute data corresponding to attributes of a plurality of users and to one or more venues for which the plurality of users has an affinity. A user personality matrix may be calculated for one or more of the plurality of users based on interrelational nodal link strengths between the one or more users and the venues. The user personality matrices may be merged to calculate a combined personality matrix representing a unified taste profile for the one or more users. A candidate list of venues having the highest link strength with the combined personality matrix may be determined. One or more recommended venues from the candidate list of venues that have the strongest links to the combined personality matrix may be determined, and recommendation data corresponding to the recommended venues may be output.

Abstract: In certain implementations, a system may receive attribute data corresponding to attributes of a plurality of users and to one or more venues for which the plurality of users has an affinity. A user personality matrix may be calculated for one or more of the plurality of users based on interrelational nodal link strengths between the one or more users and the venues. The user personality matrices may be merged to calculate a combined personality matrix representing a unified taste profile for the one or more users. A candidate list of venues having the highest link strength with the combined personality matrix may be determined. One or more recommended venues from the candidate list of venues that have the strongest links to the combined personality matrix may be determined, and recommendation data corresponding to the recommended venues may be output.

Abstract: In certain implementations, a system may receive attribute data corresponding to attributes of a plurality of users and to one or more venues for which the plurality of users has an affinity. A user personality matrix may be calculated for one or more of the plurality of users based on interrelational nodal link strengths between the one or more users and the venues. The user personality matrices may be merged to calculate a combined personality matrix representing a unified taste profile for the one or more users. A candidate list of venues having the highest link strength with the combined personality matrix may be determined. One or more recommended venues from the candidate list of venues that have the strongest links to the combined personality matrix may be determined, and recommendation data corresponding to the recommended venues may be output.

Abstract: In certain implementations, a system may receive attribute data corresponding to attributes of a plurality of users and to one or more venues for which the plurality of users has an affinity. A user personality matrix may be calculated for one or more of the plurality of users based on interrelational nodal link strengths between the one or more users and the venues. The user personality matrices may be merged to calculate a combined personality matrix representing a unified taste profile for the one or more users. A candidate list of venues having the highest link strength with the combined personality matrix may be determined. One or more recommended venues from the candidate list of venues that have the strongest links to the combined personality matrix may be determined, and recommendation data corresponding to the recommended venues may be output.