Abstract: In a connected vehicle environment, network connection parameters such as a network congestion window and bit rate are automatically adjusted dependent on a location of a vehicle in order to optimize network performance. A geospatial database stores learned relationships between network performance of a connected vehicle at different physical locations when configured in accordance with different network parameters. The vehicle can then adjust its network parameters dynamically dependent on its location. A vehicle may maintain multiple connections to different networks concurrently for transmitting duplicate data of a data stream, with the vehicle independently adjusting parameters associated with different networks to optimize performance.

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: 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: 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 directed to determining safe path navigation of an unmanned vehicle, including a sidewalk robot, using LIDAR sensors and/or other data.