Abstract: A system and method are provided that enable improved or optimized traffic flow through intersections with conditional convoying based on path network analysis. In some embodiments, the system and/or method comprise: an autonomous first agent traveling along a first path through an intersection; an autonomous second agent traveling along a second path; and at least one processor configured to selectively grant or deny the second agent access to the intersection based, at least in part, on the first agent's travel relative to the intersection.

Abstract: A robotic vehicle, such as an autonomous mobile robot (AMR), is provided, comprising a chassis, a navigation system, and a load engagement portion, a plurality of sensors, including an object detection sensor, and a load interaction system. The AMR is configured to perform a load drop and a load pickup within a zone without using predetermined load pick up and drop off locations within the zone. The AMR can determine where to place a load within the zone based on proximity to another object or physical structure within the zone. A location of the zone on the AMR's route can be trained, but pickup and drop locations within the zone can be untrained and undefined in advance.

Abstract: Provided are a resource management system and method, which can be implemented in the context of autonomously navigating vehicles, such as autonomous mobile robots (AMRs). A route and a graph network are provided, wherein the graph network comprises interconnected nodes representing resources in an environment. The resources include shared spaces and non-shared spaces accessible by the vehicle navigating the route. A resource manager module analyzes the route based on the graph network to determine one or more sets of related shared spaces on the route; applies an ordering algorithm to generate a hierarchy associated with each set of related shared spaces; and, for each set of related shared spaces, generates a set of behaviors to be executed by the vehicle to request access to the set of related shared spaces based on the associated hierarchy.