Abstract: Techniques described in this application are directed to an autonomous robot that is configured to interact with its environment through identifying the presence and emotional state (e.g., mood) of live subjects in the scene. The autonomous robot includes one or more remote physiological data collecting sensors capable of remotely collecting physiological data such as heart rate, blood circulation, or respiratory activity of the live subjects within close proximity of the robot.

Abstract: Techniques described in this application are directed to determining safe path navigation of an autonomous personal mobility device, including a self-driving electric scooter, using sensors and/or data from other sources. The autonomous personal mobility device is configured to generate maps and transform the maps into tile segments that can be shared with other autonomous personal mobility devices. Techniques further include receiving a request for an autonomous personal mobility device at a location, and enabling the autonomous personal mobility device to self-drive to the location.

Abstract: Techniques described in this application are direct to facilitating curation of dish items. For example, a plurality of dish items (e.g., entre, appetizer, chicken dish, rice, drinks, etc.) may be received by a plurality of merchants that offer dish items for ordering in a network communication environment. The system can parse and analyze dish information to identify positive or negative indicators with respect to a plurality of ingredient-based lenses (e.g., only show dish items that are vegetarian, gluten-free, or spicy, or only show items based on a historical user preference, etc.). When a user selects a particular ingredient-based lens, the system can determine a subset of available dish items from the plurality of merchants by removing dish items from all available dish items. The resulting dish items that correspond with the selected ingredient-based lens can be provided to a graphical user interface (GUI) at a user device of the user.

Abstract: Techniques described in this application are directed to determining safe path navigation of an unmanned vehicle, including a sidewalk robot, using LIDAR sensors and/or other data.