Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: The technology described herein is directed to a food assembly and packaging robot for automating aspects of food assembly and packaging. The food assembly and packaging robot system may include a robot system include a conveyance system, a bowl dispenser, one or more food dispensers, one or more condiment dispensers, a lidder, and a bagger, and in some instances, other components. The bowl dispenser may be configured to deposit bowls onto the conveyance system. The one or more food dispensers may be configured to deposit one or more ingredients into the bowls and the one or more condiment dispensers may be configured to deposit one or more condiments into the bowls. The lidder may be configured to position lids atop the bowls and the bagger may be configured to place the bowls into bags.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

Abstract: Systems and methods for automatically adjusting the interior cabin of an autonomous vehicle are provided. In one example embodiment, an autonomous vehicle can include a main body including a floor and a ceiling that at least partially define an interior cabin of the autonomous vehicle. The autonomous vehicle can include a partition wall that is movable within the interior cabin of the autonomous vehicle. The partition wall can extend between the floor to the ceiling of the main body. The autonomous vehicle can include a computing system configured to receive data indicative of one or more service assignments associated with the autonomous vehicle and to adjust a position of the partition wall within the interior cabin based at least in part on the one or more service assignments.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: Systems and methods for automatically adjusting the interior cabin of an autonomous vehicle are provided. In one example embodiment, an autonomous vehicle can include a main body including a floor and a ceiling that at least partially define an interior cabin of the autonomous vehicle. The autonomous vehicle can include a partition wall that is movable within the interior cabin of the autonomous vehicle. The partition wall can extend between the floor to the ceiling of the main body. The autonomous vehicle can include a computing system configured to receive data indicative of one or more service assignments associated with the autonomous vehicle and to adjust a position of the partition wall within the interior cabin based at least in part on the one or more service assignments.

Abstract: Systems and methods for automatically adjusting the interior cabin of an autonomous vehicle are provided. In one example embodiment, an autonomous vehicle can include a main body including a floor and a ceiling that at least partially define an interior cabin of the autonomous vehicle. The autonomous vehicle can include a partition wall that is movable within the interior cabin of the autonomous vehicle. The partition wall can extend between the floor to the ceiling of the main body. The autonomous vehicle can include a computing system configured to receive data indicative of one or more service assignments associated with the autonomous vehicle and to adjust a position of the partition wall within the interior cabin based at least in part on the one or more service assignments.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: Systems and methods for automatically adjusting the interior cabin of an autonomous vehicle are provided. In one example embodiment, an autonomous vehicle can include a main body including a floor and a ceiling that at least partially define an interior cabin of the autonomous vehicle. The autonomous vehicle can include a partition wall that is movable within the interior cabin of the autonomous vehicle. The partition wall can extend between the floor to the ceiling of the main body. The autonomous vehicle can include a computing system configured to receive data indicative of one or more service assignments associated with the autonomous vehicle and to adjust a position of the partition wall within the interior cabin based at least in part on the one or more service assignments.

Abstract: Systems and methods for automatically adjusting the interior cabin of an autonomous vehicle are provided. In one example embodiment, an autonomous vehicle can include a main body including a floor and a ceiling that at least partially define an interior cabin of the autonomous vehicle. The autonomous vehicle can include a partition wall that is movable within the interior cabin of the autonomous vehicle. The partition wall can extend between the floor to the ceiling of the main body. The autonomous vehicle can include a computing system configured to receive data indicative of one or more service assignments associated with the autonomous vehicle and to adjust a position of the partition wall within the interior cabin based at least in part on the one or more service assignments.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.