Abstract: Systems, apparatus, and methods to improve performance efficiency of autonomous robots are disclosed. An example apparatus includes processor circuitry to identify a first and a second task; detect a first condition associated with a first location, the first condition to affect a first task performance condition associated with performance of the first task by an autonomous vehicle, the first condition including congestion at the first location; detect a second condition associated with a second location, the second condition to affect a second task performance condition associated with performance of the second task by the autonomous vehicle; select one of the first or the second task to be performed based on the first and the second condition; and cause the autonomous vehicle to travel to the first or the second location to perform the selected one of the first or the second task.

Abstract: Systems and methods for dynamically reprioritizing pick jobs in a fulfillment center are described herein. The example systems can be configured to periodically classify pick jobs in order to optimize throughput of the fulfillment center. The classifying can include determining an estimated completion time for pick jobs and identifying at-risk jobs that may complete after their associated due dates. The at-risk jobs can be assigned to autonomous vehicles based primarily on their associated due dates. Other pick jobs that are not at-risk can be assigned to autonomous vehicles based primarily on efficiency. The at-risk pick jobs can be assigned to autonomous vehicles before the other pick jobs.

Abstract: Systems and methods for dynamically reprioritizing pick jobs in a fulfillment center are described herein. The example systems can be configured to periodically classify pick jobs in order to optimize throughput of the fulfillment center. The classifying can include determining an estimated completion time for pick jobs and identifying at-risk jobs that may complete after their associated due dates. The at-risk jobs can be assigned to autonomous vehicles based primarily on their associated due dates. Other pick jobs that are not at-risk can be assigned to autonomous vehicles based primarily on efficiency. The at-risk pick jobs can be assigned to autonomous vehicles before the other pick jobs.