Techniques and architectures for managing heterogeneous robots to manage deliveries

A method, comprising:

• receiving input from a remote device from one of a plurality of disparate heterogeneous organizations supported by a multi-tenant control platform, each of the plurality of organizations having at least one corresponding remote device, the multi-tenant control platform to provide a control mechanism for a team of heterogeneous robots shared by at least two organizations having at least two different control structures, wherein the control platform provides users from the multiple disparate heterogeneous organization common access with specific privileges to a software instance of the control platform and provides an interface and structure between the remote devices corresponding to the plurality of organizations and a team of robots to allow tasks specified by the remote device to be performed by the team of heterogeneous robots without programming and controlling individual robot types for corresponding tasks;
• and
• generating control signals for at least two different types of robots communicatively coupled with the control platform, wherein a first type of robot is independent of a second type of robot and the first and second type of robot have different control mechanisms, the first type of robot to receive a request for an item to be delivered and at least one of the first type of robot operates to identify the item by at least taking a picture of the item and uploading the picture to the control platform to trigger a process that utilizes artificial intelligence object detection functionality on the control platform to verify the item, to move the item, if verified, to an intermediate location and to generate a request to at least one of the second type of robot, further wherein at least one of the second type of robot operates to move the item from the intermediate location to a new location and provide additional processing capability on the control platform.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, are configurable to cause the one or more processors to:

• receive input from a remote device from one of a plurality of disparate heterogeneous organizations supported by a multi-tenant control platform, each of the plurality of organizations having at least one corresponding remote device, the multi-tenant control platform to provide a control mechanism for a team of heterogeneous robots shared by at least two organizations having at least two different control structures, wherein the control platform provides users from the multiple disparate heterogeneous organization common access with specific privileges to a software instance of the control platform and provides an interface and structure between the remote devices corresponding to the plurality of organizations and a team of robots to allow tasks specified by the remote device to be performed by the team of heterogeneous robots without programming and controlling individual robot types for corresponding tasks;
• and
• generate control signals for at least two different types of robots communicatively coupled with the control platform, wherein a first type of robot is independent of a second type of robot and the first and second type of robot have different control mechanisms, the first type of robot to receive a request for an item to be delivered and at least one of the first type of robot operates to identify the item by at least taking a picture of the item and uploading the picture to the control platform to trigger a process that utilizes artificial intelligence object detection functionality on the control platform to verify the item, to move the item, if verified, to an intermediate location and to generate a request to at least one of the second type of robot, further wherein at least one of the second type of robot operates to move the item from the intermediate location to a new location and provide additional processing capability on the control platform.