Abstract: A method for operating a semantic robotic system in communication with a plurality of devices, the semantic robotic system having at least one processor and at least one transceiver includes storing in the memory an intrinsic semantic associated with an object type, the intrinsic semantic further indicating a purpose of the object type. The method further causes the at least one processor to detect a first object of a first object type based on one or more first data inputs, infer a first semantic in rapport with the first object of the first object type based on one or more second data inputs, generate semantic augmentation data based on a determination that the first inferred semantic is non-affirmative by having a high entropy with respect to the intrinsic semantic, and cause the at least one transceiver to transmit the semantic augmentation data to a remote device.

Abstract: A method for operating a device networking system including a provider having a processor, a first device having a first transceiver and a second device having a second transceiver includes arranging the first and second devices to communicate connection information via the transceivers when the first device is communicatively coupled with the second device on a first physical communication interface. The processor communicatively couples the first device and the second device to one another through the provider by establishing a brokered communication link between the first device and the second device based on the first connection information received from the first device, such that the brokered communication link has a first communication link between the provider and the first device and a second communication link between the provider and the second device on the second physical communication interface.

Abstract: A conveyor system includes a plurality of posts having one or more rollers and a conveying surface for conveying a conveyable item. A memory in communication with one or more processors stores conveyable item data including one or more images, size, and weight for conveyable items. One or more sensors is in communication with the one or more processors to provide optical or weight information of an item on the conveying surface, used by the one or more processors to determine that an item is on the conveying surface and to semantically match the conveyable item identified on the conveying surface with stored conveyable item data.

Abstract: A flux sensing system includes a processor, a memory, and a sensor. The memory stores at least one semantic profile having a first preference setting, a second preference setting, and a third preference setting in which the first preference setting is associated with a first object, the second preference setting is associated with a second object and the third preference setting is associated with a semantic group including the first object and the second object. The processor infers a semantic associated with a third object, the inferred semantic being based on one or more inputs from the sensor. The processor further detects the presence of the first object and the second object based on inputs from the sensor, and applies or does not apply preference settings based on detected object presence and inferences of the semantic group.

Abstract: A semantic robotic device system stores a semantic goal and semantic profiles having semantic artifacts. A processor is configured to infer further semantic artifacts in rapport with semantic goals based on an application of semantic artifacts from a semantic profile and an affirmative semantic resonance in rapport with semantic artifacts. The processor is configured to generate thin client presentation data as a representation of semantic artifacts in association with first and second identities, and causes at least one transceiver to transmit the thin client presentation data to a remote device.

Abstract: A cart system includes a plurality of carts, each cart having a battery, a processor and at least one switching and conditioning circuit, the plurality of carts physically coupled in a mutual and external charging configuration, wherein, under the control of a plurality of processors, the plurality of switching and conditioning circuits condition, switch and route the electrical signal within and between each cart among the plurality of carts. The electrical signal may be switched, routed or conditioned based on semantic analysis. A first cart includes a socket connector which may include an electrical or latching component, and which may be physically connected or latched to secure it with a pairing socket connector of a second cart.

Abstract: A method for performing semantic inference in a system having a processor, memory, and a transceiver arranged to receive a video signal from a target device includes storing a semantic goal, ingesting user guideline content, inferring capabilities semantics, and emulating peripheral input device signals which are communicated to a target device to launch and operate one or more software applications. Data is captured from the video signal and displayed on a user interface control, with the system performing semantic inference on the data and determining whether software application capabilities are factorized with respect to semantic goals, and further performing semantic inference on the data to emulate peripheral input device signals based on the determination.

Abstract: A device networking system via a provider for establishing a brokered network communication link by exchanging validation and connection data on a first network interface of a first type at a first time and further, establishing the brokered communication link between at least two devices on at least one another network interface of a second type at a second time, wherein the brokered network communication link is managed by the provider based on the individual connections with each of the devices. The connections may encapsulate semantic fluxes for management of semantic information within the network. Furthermore, the connections may resemble a hierarchy associated with a protocol hierarchy, an endpoint hierarchy and/or a semantic flux hierarchy.

Abstract: A semantic sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic.

Abstract: A semantic robotic system includes a memory and a processor in communication with the memory, the memory storing a first semantic time and a second semantic time, and a semantic route indicative of a plurality of semantic ordered interests associated with an endpoint. A computer program is operable by at least one processor to publish a first semantic indicative of a first capability and to revise the ordered interests at the second semantic time after the first semantic has been matched with the second semantic and after at least one of the ordered interest has been satisfied.

Abstract: A semantic sensing system includes a processor, a memory, a plurality of wireless communication enabled devices and at least one sensing element, the memory storing a plurality of mapped endpoints wherein the processor is configured to apply semantic drift or entropy to determine non-affirmative circumstances based on inputs from the at least one sensing element to cause the system to perform semantic augmentation towards a first endpoint supervisor in relation with the non-affirmative determinations.

Abstract: A semantic robotic device system infers semantics based on data received from at least one transceiver, and further determines that inferred semantics are affirmative or non-affirmative. One or more subsequent semantics are inferred at a subsequent time, to cause a reduction in entropy between the one or more subsequent semantics and an affirmative semantic. The semantic robotic device system generates thin client presentation data in rapport with a semantic goal, and causes the at least one transceiver to transmit the thin client presentation data to a remote device.

Abstract: A flux sensing system includes a processor, a memory, and a sensor. The memory stores at least one semantic profile having a first preference setting, a second preference setting, and a third preference setting in which the first preference setting is associated with a first object, the second preference setting is associated with a second object and the third preference setting is associated with a semantic group including the first object and the second object. The processor infers a semantic associated with a third object, the inferred semantic being based on one or more inputs from the sensor. The processor further detects the presence of the first object and the second object based on inputs from the sensor, and applies or does not apply preference settings based on detected object presence and inferences of the semantic group.

Abstract: A semantic robotic device system stores a semantic goal and semantic profiles having semantic artifacts. A processor is configured to infer further semantic artifacts in rapport with semantic goals based on an application of semantic artifacts from a semantic profile and an affirmative semantic resonance in rapport with semantic artifacts. The processor is configured to generate thin client presentation data as a representation of semantic artifacts in association with first and second identities, and causes at least one transceiver to transmit the thin client presentation data to a remote device.

Abstract: A semantic sensing analysis system comprising a processor, a memory and at least one sensing element having a plurality of stored semantic routes and/or semantic rules wherein the processor is configured to use semantic factorization to apply a quantifiable factor or indicator based on semantic inference or analysis which is inferred based on at least one of the stored semantic routes and/or semantic rules to cause the system to perform semantic augmentation towards a user in relation with an inferred semantic identity.

Abstract: A semantic robotic device applies semantic inference to determine at least one affirmative resonant semantic group and at least one non-affirmative semantic group in rapport with a stored semantic goal. The semantic robotic device displays the first semantic group and the second semantic group in an optimized manner for a user or an observer.

Abstract: A flux system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and to infer an activity interest semantic based on an input, and to assign at least one augmentation servicing agent to service an activity interest based on semantic matching.

Abstract: A semantic robotic device includes a processor, transceiver, and a memory storing software applications. The processor is arranged to ingest user guidelines for the software applications, and to infer capabilities semantics associated with them. The processor further emulates user input device signals and communicates them to a target device to launch and operate the software applications, and to capture data from user interface controls. Semantic inference is performed on the data to determine semantic factorization with respect to a semantic goal, and to determine a software application which is more affirmatively factorized in rapport with the semantic goal. The processor emulates further input device signals and communicates them to the target device, based on the determination regarding affirmative factorization of the software applications.

Abstract: A robotic emulation device includes a processor, memory and multimedia interfaces to capture a video signal from a target device, analyze it, and transmit manipulation control signals to the target device input by emulating a peripheral input device, wherein the manipulation control signals determine manipulation or selection of a target interface control associated with a first user interface encoded and transmitted in the video signal. Furthermore, the robotic emulation device may be connected via an embedded transceiver to at least one computer or computer tenant for relaying the captured video data for analysis, and based on the analysis, applying inferred manipulation semantics.

Abstract: A securable robotic controller comprising internal and external sensors is physically secured to or hosts a controllable device. Based on inferences the securable robotic device controls the controllable device physical control via at least one actuated link. Multiple securable robotic devices may be coupled and composed to host and manipulate multiple controlled devices.