Abstract: A system, comprising at least one autonomous mobile robot (AMR); a lane grid generation system configured to generate a lane grid including route segments of the at least one AMR comprising computer program code executable by at least one processor to: drive the AMR in a first direction to demonstrate a route in a second direction opposite the first direction of the at least one AMR during an autonomous mode of the AMR; and determine a plurality of lanes for the AMR to provide loads within a full range of each of the plurality of lanes; and a navigation system configured to direct the movement of the at least one AMR based on the route segments.

Abstract: A system and method are provided for a material flow automation process. In some embodiments, the system and/or method comprise: an input device that provides instructions of an instruction set regarding at least one destination of interest to at least one processor; a navigation system that navigates a vehicle in response to the instructions; and a controller that initiates a material flow task to be executed by the vehicle, wherein the controller receives at least one instruction of the instruction set during the execution of the material flow task by the vehicle.

Abstract: A system and method are provided for a material flow automation process. In some embodiments, the system and/or method comprise: receiving a first input including a plurality of core material flow elements; receiving a second input including a variable parameter that includes a status of each of the core material flow elements; applying the parameter to the plurality of core material flow elements; determining a plurality of composable material flow logic patterns from the application of the variable parameter to the plurality of core material flow elements; and applying the composable material flow logic patterns for managing an automation of movement of a vehicle.

Abstract: A system, comprising at least one autonomous mobile robot (AMR); and a management system comprising at least one processor configured to: enable the identification of a target region, the target region comprising one or more target locations; direct the at least one AMR to the target region; enable the selection of whether a first target location of the one or more target locations is identified by an operator or by the management system; and direct the at least one AMR to the first target location.

Abstract: A system and method are provided that provides a framework for modeling repeatable tasks for robots, such as AMRs, to complete. Using the framework, jobs may be built using a software tool that allows users to create a series of steps that the robot will perform. Each step includes two elements: location and task, which may be presented by a processor to a user interface, allowing a user to fill in a location and task. By combining steps, an unlimited number of material flows may be created.

Abstract: A system and method are provided providing repeatable, general processes for AMRs that can be transferred between systems, facilities and customers. In some embodiments, the system and/or method comprise: at least one autonomous mobile robot (AMR); a management system comprising at least one processor configured to generate model repeatable instructions for execution of movement of the at least one AMR in a first system; and a transfer system comprising at least one processor configured to export the model repeatable instructions from the first system and import the model repeatable instructions to a second system.

Abstract: A system and method are provided that include and/or are configured to analyze performance data of at least one autonomous mobile robot (AMR) and at least one electronically trackable human. This can include providing one or more processors and computer storage devices configured to store and execute human and autonomous robot performance analysis program code that analyzes human performance data and AMR performance data collected and/or generated during human and/or AMR execution of tasks. In some embodiments, such tasks can include, for example, order picking on routes navigated through an environment, such as a warehouse. The system and method can adjust tasking to at least one human and/or at least one autonomous robot, e.g., to improve task efficiency, based the analysis of the human and AMR performance data.