Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Technologies for managing a treatment program include a treatment management server, smart pills, and patient computing devices. The treatment management server is configured to generate treatment data usable by the smart pills to control a release of one or more drugs in patients. The treatment management server is also configured to transmit the treatment data to the smart pills, obtain physiological data associated with the patients, identify a preferred physiological response among the patients based on the physiological data, and identify the treatment data associated with the preferred physiological response. The smart pills are configured to obtain the treatment data, release one or more drugs into the patients based on the treatment data, sense physiological conditions in the patients, and transmit the physiological conditions to the treatment management server. The patient computing devices facilitate communication between the treatment management server and the smart pills.

Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Systems, apparatuses and methods may provide for classifying a physical proximity event with respect to a wearable device based on one or more of a haptic input or a scent input. Additionally, the classified physical proximity event may be correlated with an augmented reality (AR) effect, wherein the AR effect may be initiated via the wearable device. In one example, the AR effect cancels a negative perceptual impact of the physical proximity event.

Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Technologies for customized drug provisioning include a drug dosage determination server and a drug dispenser device. The drug dosage determination server is configured to obtain patient physiological data associated with a patient, determine a drug dosage for the patient based on the patient physiological data, generate drug dosage instructions for a drug dispenser device, based on the determined drug dosage, and transmit the drug dosage instructions to the drug dispenser device. The drug dispenser device is configured to receive drug dosage instructions from the drug dosage determination server, prompt the patient for authentication credentials, determine whether the patient is authenticated, generate the drug based on the drug dosage instructions in response to a determination that the patient is authenticated, and dispense the drug. Other embodiments are described.

Abstract: Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Abstract: Technologies for managing a treatment program include a treatment management server, smart pills, and patient computing devices. The treatment management server is configured to generate treatment data usable by the smart pills to control a release of one or more drugs in patients. The treatment management server is also configured to transmit the treatment data to the smart pills, obtain physiological data associated with the patients, identify a preferred physiological response among the patients based on the physiological data, and identify the treatment data associated with the preferred physiological response. The smart pills are configured to obtain the treatment data, release one or more drugs into the patients based on the treatment data, sense physiological conditions in the patients, and transmit the physiological conditions to the treatment management server. The patient computing devices facilitate communication between the treatment management server and the smart pills.

Abstract: Systems, apparatuses and methods may provide for classifying a physical proximity event with respect to a wearable device based on one or more of a haptic input or a scent input. Additionally, the classified physical proximity event may be correlated with an augmented reality (AR) effect, wherein the AR effect may be initiated via the wearable device. In one example, the AR effect cancels a negative perceptual impact of the physical proximity event.

Abstract: Embodiments are generally directed to a wearable electronic device providing injury response. A wearable electronic device may include an injury detection unit that includes one or more sensors, and a central computing unit to receive sensor data from the one or more sensors to detect one or more injuries or potential injuries based at least in part on the received sensor data. The wearable electronic device further includes an injury response unit to provide a response to the one or more injuries or potential injuries.

Abstract: Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in combination with at least some of the other data. Other embodiments may be described and/or claimed.

Abstract: Embodiments are generally directed to a wearable electronic device providing injury response. A wearable electronic device may include an injury detection unit that includes one or more sensors, and a central computing unit to receive sensor data from the one or more sensors to detect one or more injuries or potential injuries based at least in part on the received sensor data. The wearable electronic device further includes an injury response unit to provide a response to the one or more injuries or potential injuries.

Abstract: Embodiments are generally directed to a system for contextual adaptation of physical space. An apparatus may include a processor to process data regarding a physical space; logic, implemented at least in part in hardware, to monitor the physical space, including monitoring of sensor data and scheduling data for the physical space; an algorithm to generate a revised configuration for the physical space based at least in part on the sensor data and the scheduling data; and an output display to display the revised configuration for the physical space.

Abstract: Technologies for secure content packaging include a source computing device that transmits a secure package to a destination computing device. The destination computing device establishes a content policy trusted execution environment and a key policy trusted execution environment. The content policy trusted execution environment may be established in a secure enclave using processor support. The key policy trusted execution environment may be established using a security engine. The key policy trusted execution environment evaluates a key access policy and decrypts a content key using a master wrapping key. The content policy trusted execution environment evaluates a content access policy and decrypts the content using the decrypted content key. Similarly, the source computing device authors the secure package using a content policy trusted execution environment and a key policy trusted execution environment. The master wrapping key may be provisioned to the computing devices during manufacture.

Abstract: Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in combination with at least some of the other data. Other embodiments may be described and/or claimed.