Abstract: A synchronization primitive provides robots with locks, monitors, semaphores, or other mechanisms for reserving temporary access to a shared limited set of resources required by the robots in performing different tasks. Through non-conflicting establishment of the synchronization primitives across the set of resources, robots can prioritize the order with which assigned tasks are completed and minimize wait times for resources needed to complete each of the assigned tasks, thereby maximizing the number of tasks simultaneously executed by the robots and optimizing task completion. The synchronization primitives and resulting resource allocation can be implemented with a centralized coordinator or with peer-to-peer robotic messaging, whereby private keys and blockchains secure the precedence and establishment of synchronization primitives by different robots.

Abstract: Some embodiments provide a human and robot distributed operating system (HaRD-OS). The HaRD-OS efficiently and dynamically connects different human operators and algorithms to multiple remotely deployed robots based on the task(s) that the robots are to complete. Some embodiments facilitate an action/perception loop between the operators, algorithms and robots by routing tasks between human operators or algorithms based on various routing polices including operator familiarity, aptitude, access rights, end user preference, time zones, costs, efficiency, latency, privacy concerns, etc. In the event of a fault, some embodiments route to the best operator or algorithm that is able to handle the particular fault with the required privileges. Some embodiments secure task guarantees to be completed at particular times, priorities or costs.

Abstract: Some embodiments provide a system for fully autonomous order fulfillment and inventory management within a distribution site or warehouse. The system operates by autonomous robots directly pulling customer order items from distribution site shelves or pulling individual bins from distribution site shelves and dispensing appropriate quantities of items from the bins until all items of a customer order are retrieved without human involvement. The system further involves the robots autonomously monitoring item quantities within the distribution site, identifying and autonomously responding to shortages, and organizing the items within the distribution site for most efficient order fulfillment.

Abstract: Some embodiments provide a human and robot distributed operating system (HaRD-OS). The HaRD-OS efficiently and dynamically connects different human operators and algorithms to multiple remotely deployed robots based on the task(s) that the robots are to complete. Some embodiments facilitate an action/perception loop between the operators, algorithms and robots by routing tasks between human operators or algorithms based on various routing polices including operator familiarity, aptitude, access rights, end user preference, time zones, costs, efficiency, latency, privacy concerns, etc. In the event of a fault, some embodiments route to the best operator or algorithm that is able to handle the particular fault with the required privileges. Some embodiments secure task guarantees to be completed at particular times, priorities or costs.