Abstract: Various systems and techniques for providing enhancements to bogie-equipped vehicles are described and discussed. Such systems and techniques include, for example, actively driven bogie differentials, elevated obstacle mounting techniques, worm-drive steering, parking modes using toe-in or toe-out wheel steering, speed-sensitive steering mode selection, and various other enhancements and techniques.

Abstract: Provided are systems, methods, and computer-program products for generating a personalized item list. In various examples, a server computer on a network can receive a request that includes a user identifier. The computer can use the user identifier to look up a data model associated with the user identifier. The computer can further determine a geolocation, and use the geolocation to determine a list of items associated with an eatery at or near the geolocation. The computer can input the item list into the data model, for the data model to output a probability for each item, the probability indicating a likelihood that the user will select the item. The probabilities can be used to generate a personalized item list, which can be output onto the network for receipt by a computing device.

Abstract: Provided are systems, methods, and computer-program products for generating a personalized item list. In various examples, a server computer on a network can receive a request that includes a user identifier. The computer can use the user identifier to look up a data model associated with the user identifier. The computer can further determine a geolocation, and use the geolocation to determine a list of items associated with an eatery at or near the geolocation. The computer can input the item list into the data model, for the data model to output a probability for each item, the probability indicating a likelihood that the user will select the item. The probabilities can be used to generate a personalized item list, which can be output onto the network for receipt by a computing device.

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: Described herein is a delivery robot that can be programmed to travel from one location to another in open spaces that have few restrictions on the robot's path of travel. The delivery robot may operate in an autonomous mode, a remote controlled mode, or a combination thereof. The delivery robot can include a cargo area for transporting physical items. The robot can include exterior display devices and/or lighting devices to convey information to people that the robot may be encountering, including indications of the robot's direction of travel, current status, and/or other information.

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: A delivery robot includes a cargo bin to carry cargo for delivery, and a door coupled to the cargo bin. The door to the cargo bin has an open state to allow access to an interior of the cargo bin, and a closed state to seal the interior of the cargo bin from an exterior environment. The delivery robot also includes a disinfecting light source operable to generate a disinfecting radiation to disinfect the interior of the cargo bin. The disinfecting light source is allowed to be activated when the door is in the closed state, and is prevented from being activated when the door is in the open state.

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: Provided is a light projection system that can be used to indicate a robot's path of travel, a robot including the light projection system, and methods for projecting light to indicate a robot's path of travel. The light projection system can by mounted to the body of the robot, and can be configured to project light onto the ground in front of the robot. The light projection system can be configured to project different illumination patterns that can indicate whether the robot is moving forward, turning, accelerating, and/or slowing down, among other examples.

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.

Abstract: A method and system for use in creating a profile of, managing and understanding power consumption in a premise of a user, wherein said premise comprises two or more power consuming devices comprises measuring, via at least one sensor, aggregate energy consumption at the premise, receiving at a mobile computing device comprising a data processor, said aggregated signal from the sensor, collecting and recording the aggregate signal over a plurality of time resolutions and frequencies, therein to create a predicted aggregate signal for each time x and frequency y, detecting changes in the predicted aggregate signal at time x an frequency y (detected consumption pattern changes) and conveying to at least one of the user, a utility company, and other third party a notification of detected consumption pattern changes.

Abstract: Provided is a light projection system that can be used to indicate a robot's path of travel, a robot including the light projection system, and methods for projecting light to indicate a robot's path of travel. The light projection system can by mounted to the body of the robot, and can be configured to project light onto the ground in front of the robot. The light projection system can be configured to project different illumination patterns that can indicate whether the robot is moving forward, turning, accelerating, and/or slowing down, among other examples.

Abstract: Provided are systems, methods, and computer-program products for generating a personalized item list. In various examples, a server computer on a network can receive a request that includes a user identifier. The computer can use the user identifier to look up a data model associated with the user identifier. The computer can further determine a geolocation, and use the geolocation to determine a list of items associated with an eatery at or near the geolocation. The computer can input the item list into the data model, for the data model to output a probability for each item, the probability indicating a likelihood that the user will select the item. The probabilities can be used to generate a personalized item list, which can be output onto the network for receipt by a computing device.

Abstract: A method and system for use in creating a profile of, managing and understanding power consumption in a premise of a user, wherein said premise comprises two or more power consuming devices comprises measuring, via at least one sensor, aggregate energy consumption at the premise, receiving at a mobile computing device comprising a data processor, said aggregated signal from the sensor, collecting and recording the aggregate signal over a plurality of time resolutions and frequencies, therein to create a predicted aggregate signal for each time x and frequency y, detecting changes in the predicted aggregate signal at time x an frequency y (detected consumption pattern changes) and conveying to at least one of the user, a utility company, and other third party a notification of detected consumption pattern changes.

Abstract: A method and system for use in creating a profile of, managing and understanding power consumption in a premise of a user, wherein said premise comprises two or more power consuming devices comprises measuring, via at least one sensor, aggregate energy consumption at the premise, receiving at a mobile computing device comprising a data processor, said aggregated signal from the sensor, collecting and recording the aggregate signal over a plurality of time resolutions and frequencies, therein to create a predicted aggregate signal for each time x and frequency y, detecting changes in the predicted aggregate signal at time x an frequency y (detected consumption pattern changes) and conveying to at least one of the user, a utility company, and other third party a notification of detected consumption pattern changes.

Abstract: A method and system for use in creating a profile of, managing and understanding power consumption in a premise of a user, wherein said premise comprises two or more power consuming devices comprises measuring, via at least one sensor, aggregate energy consumption at the premise, receiving at a mobile computing device comprising a data processor, said aggregated signal from the sensor, collecting and recording the aggregate signal over a plurality of time resolutions and frequencies, therein to create a predicted aggregate signal for each time x and frequency y, detecting changes in the predicted aggregate signal at time x an frequency y (detected consumption pattern changes) and conveying to at least one of the user, a utility company, and other third party a notification of detected consumption pattern changes.

Abstract: Power consumption related data for the power source supplying an entire household or other group of appliances is captured at a relatively high data rate. The raw data is analyzed to remove redundancy and to identify pertinent features, and then the more informative of these features are then selected. The analysis and selection of features are pre-processing tasks that are performed on-site, on the same piece of hardware that acquires the raw data and transmits the pre-processed data to the server. By transmitting selective data to a remote server, only a low bandwidth is required for the transmission.