Intel Corporation

Mcafee, Inc.

Ido Lapidot

Ned M Smith

Glen J Anderson

Igor G Muttik

Alex Nayshtut

Oleg Pogorelik

Tamara Gaidar

Lior Storfer

Omer Ben-Shalom

Jennifer Anne Healey

Rinat Rappoport

Stephen R Brown

Raanan Yehezkel

Guy Jacob

Yosi Govezensky

Ariel Moshkovitz

Yoav Talgam

Sergei Goffman

Oren Gershon

Andrey Sloutsman

Ofer Givoli

Oded Agam

Roman Fishtein

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.

Navigating semi-autonomous mobile robots

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. Other embodiments are described.

Technologies for managing a treatment program using smart pills

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.

Haptic augmented reality to reduce noxious stimuli

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.

Wearable electronic device to provide injury response

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.

Emotion-related query processing

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Haifa, Israel

Ido Lapidot