Lucomm Technologies, Inc.

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.

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.

A flux 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.

A method for operating a system having 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.

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.

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.

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.

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.

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.

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.