Abstract: Systems, methods, and computer-readable media are provided for managing mutual and transitive trust relationships between resources, such as Fog/Edge nodes, autonomous devices (e.g., IoT devices), and/or analog/biological resources to provide collaborative, trusted communication over a network for service delivery. Disclosed embodiments include a subject resource configured to assign an observed resource to a trust zone based on situational and contextual information. The situational information may indicate a vector of the observed resource with respect to the subject resource. The contextual information may be based in part on whether a relationship exists between the subject resource and the observed resource. The subject resource is configured to determine a trust level of the observed resource based on the determined trust zone. Other embodiments are disclosed and/or claimed.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve boundary excursion detection. An example apparatus to improve boundary excursion detection includes a metadata extractor to parse a first control stream to extract embedded metadata, a metadata label resolver to classify a boundary term of the extracted embedded metadata, a candidate stream selector to identify candidate second control streams that include a boundary term that matches the classified boundary term of the first control stream, and a boundary vector calculator to improve boundary excursion detection by calculating a boundary vector factor based on respective ones of the candidate second control streams that include the classified boundary term.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data routing. An example apparatus includes at least one memory, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to at least execute a machine-learning model to output a first data routing path in a network environment based on metadata associated with an event in the network environment. The processor circuitry is further to, after a detection of a change of the first data routing path to a second data routing path, retrain the machine-learning model to output a third data routing path based on the second data routing path. The processor circuitry is additionally to cause transmission of a second message to a first node based on the third data routing path after an identification of the event.

Abstract: Systems and techniques for service roaming between edge computing platforms are described herein. A service executing on a first edge computing platform may be identified to be migrated to a second edge computing platform. A first service component may be determined that is being executed by the first edge computing platform. Transmission of the service to the second edge platform may be initiated to execute a second service component for execution of the service.

Abstract: System and techniques for trusted lightweight communication in cloud robotics are described herein. A device for trusted lightweight communication in cloud robotics can include a memory having instructions and processing circuitry. When in operation, the processing circuitry can be configured by the instructions to receive a first report from a first device after the first device runs a first algorithm and a second report from a second device after the second device runs the first algorithm with an edge controller. The first algorithm can be stored on a distributed ledger. Consensus between the first device and the second device can be determined by agreement between the first report and the second report. An entry, indicative of consensus between the first device and the second device, can be added to the distributed ledger.

Abstract: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

Abstract: Apparatus, method and computer readable medium associated with autonomous/semi-autonomous driving are disclosed herein. In embodiments, an apparatus for autonomous/semi-autonomous driving may comprise a management system to be disposed in an autonomous/semi-autonomous vehicle. The management system may include a reservation subsystem to receive, from a cloud server, a reservation of the autonomous or semi-autonomous vehicle for a passenger or a driver, and an access control subsystem to control access to the autonomous or semi-autonomous vehicle that includes a trust function to gain trust of the passenger or driver with respect to the passenger or driver's data privacy requirements will be met, when the passenger or driver attempts to exercise the reservation. Other embodiments may be disclosed or claimed.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.

Abstract: A communication device for multi-radio access technology (RAT) communications includes one or more processors and a plurality of transceivers. Each transceiver is configured to operate in at least one RAT of a plurality of RATs. The processors are configured to establish connection with a second communication device using a first transceiver of the plurality of transceivers and a first RAT of the plurality of RATs. A first data stream associated with a communication link connected to the second communication device and a third communication device is receive via a convergence function at the second communication device. The communication link uses a second RAT of the plurality of RATs. A code sequence is applied to a second data stream to generate an encoded second data stream, which is transmitted to the third communication device via a second communication link established based on information received via the first data stream.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data usage monitoring to identify and mitigate ethical divergence. Disclosed example apparatus are to orchestrate resources in an edge environment based on ingested network traffic on an edge network, the ingested network traffic associated with a source node that is to source a target data stream and a target artificial intelligence (AI) application node that is to consume at least a portion of the target data stream. Disclosed example apparatus are also to execute a machine learning model based on the ingested network traffic to generate one or more outputs including at least one a first value representative of a data stream characteristic or a second value representative of an AI application node characteristic, determine the one or more outputs satisfy a threshold value, and generate an alert in response to the one or more outputs satisfying the threshold value.

Abstract: Techniques are disclosed for task priority scheduling and resource allocation of autonomous agents. The scheduling may utilize sensor data characteristics to facilitate scheduling decisions. The present disclosure also provides refinement of task priority scheduling utilizing fleet management information-based scene and environment information, such as by using information available to the fleet management controller.

Abstract: System and techniques for cumulative learning robot execution plan generation are described herein. A first execution plan report based on execution of a first execution plan by a first robot may be received. Here, the first execution plan report includes a first metric for a first operation of the first execution plan. A second execution plan report based on execution of a second execution plan by a second robot may also be received that includes a second metric for a second operation of the second execution plan. Here, the second operation corresponds to the first operation. The first metric and the second metric are analyzed to determine that the second operation is an improvement to the first operation. Then, a modified first execution plan that replaces the first operation with the second operation may be transmitted to the first robot.

Abstract: Disclosed embodiments relate to an orchestrator and arbitrator in an Internet of Things (IoT) platform. In one example, a method of servicing a plurality of data flows of a plurality of wireless devices using a plurality of protocols includes: monitoring one or more interfaces that communicate using the plurality of protocols, activating a first interface upon detecting a demand to exchange data thereon, wherein a connectivity manager performs the monitoring, and activating, extracting, by a packet analyzer, packet metadata from one or more of the plurality of data flows, determining latency encountered and bandwidth utilized by the one or more data flows based on the packet metadata, applying, by an adaptive connectivity manager (ACM), a latency reduction strategy to attempt to comply with latency criteria, and applying, by a bandwidth utilization manager (BUM), a bandwidth reduction strategy to attempt to comply with bandwidth criteria.

Abstract: A compute system that includes an Internet of things (IoT) device is provided. The IoT device includes a common services interface (CSI) to create a self-managing network of devices with other nodes comprising the CSI.

Abstract: This disclosure is directed to a universal interface for sensor devices. Applications executed in a device may interact with sensor devices via a universal interface. For example, the device may act as a gateway allowing Internet of Things (IoT) devices to interact with at least one resource external to the environment in which the IoT devices operate. The device may comprise at least memory circuitry to store at least a virtual file system and at least one application. The virtual file system may provide a programmatic interface through which at least one sensor device may be accessible to the at least one application. Processing circuitry in the device may execute an application from those stored within the memory circuitry. The application, when executed, may cause interconnect circuitry also in the device to at least one of transmit instructions to, or receive data from, a sensor device utilizing the virtual file system.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that adjust autonomous vehicle driving software using machine programming. An example apparatus for adjusting autonomous driving software of a vehicle includes an input analyzer to determine a software adjustment based on an obtained driving input and a priority determiner to determine a priority level of the software adjustment. The apparatus further includes a program adjuster to, when the priority level is above a threshold, identify a parameter of the autonomous driving software of the vehicle associated with the software adjustment and adjust the parameter based on the software adjustment, the adjustment to the parameter to change driving characteristics of the vehicle.

Abstract: The present disclosure describes mechanisms to manage session continuity for edge computing services for edge service consumers. The session management mechanisms include continuity or handing over edge service sessions between edge computing platforms in a same edge compute cluster and between edge computing platforms in different edge compute clusters. The session management mechanisms include edge computing platform switching/handover for user equipment capable of utilizing multiple access network connections and/or multiple access technologies. The described solutions can provide edge service session continuity between connected vehicles and road side units and/or edge compute nodes.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Various aspects of techniques, systems, and use cases include provide instructions for operating an autonomous mobile robot (AMR). A technique may include capturing audio or video data using a sensor of the AMR, performing a classification of the audio or video data using a trained classifier, and identifying a coordinate of an environmental map corresponding to a location of the audio or video data. The technique may include updating the environmental map to include the classification as metadata corresponding to the coordinate. The technique may include communicating the updated environmental map to an edge device.

Abstract: To address technical problems facing managing multiple sources of information from multiple vehicles, vehicular computing power may be exploited to process such information before sharing with others, which may help reduce network traffic overhead. A technical solution to improve this information processing over vehicular networks by using a hybrid Named Function Network (NFN) and Information Centric Network (ICN), such as in a hybrid NFN/ICN. An NFN may be used to orchestrate computations in a highly dynamic environment after decomposing the computations into a number of small functions. A function may include a digitally signed binary supplied by a car vendor or other trusted authority and executed within a controlled environment, such as a virtual machine, container, Java runtime-environment, or other controlled environment.