Invia Robotics, Inc.

William Shane Simpson Grant

Lior Elazary

Randolph Charles Voorhies

Daniel Frank Parks, Ii

Joseph Traverso

Sagar Pandya

Brandon Pennington

Kaveh Kamgar

Disclosed is a system and associated methods for optimizing order fulfillment. The system determines the containers in a site with items for a set of received orders, and reserves different slot types of an item cache for each container based on the properties of the contained items or container. The system transfers a set of containers to the item cache by placing each of the set of containers into a slot that is associated with a slot type that matches a slot type reserved for that container. The system replaces a first container from the set of containers upon delivering a second container to the item cache and other containers from the set of containers in the slot type reserved for the second container having items for unfulfilled orders and the first container not having items for unfulfilled orders once the second container is brought to the item cache.

Systems and methods for optimizing order fulfillment

Provided is a parallelized and modular planning system that controls multiple actors in performing different tasks simultaneously without conflict based on plans that are modularly created and/or updated. The system may update different parts of different plans at the same time without redefining those plans anew. The system may include a first subsystem that generates a first plan based on an assignment of a first task to a first actor, while a second subsystem provides a path for a second plan assigned to a second actor, while a third subsystem determines access ordering by which a third actor accesses a first resource from a path of a third plan, and while a fourth subsystem controls operation of a fourth actor in accessing a second resource from a path of a fourth plan based on an access ordering determined for the second resource by the third subsystem.

Parallelized and modular planning systems and methods for orchestrated control of different actors

Spatiotemporal robotic navigation may include providing a set of robots non-conflicting access to the same shared resources at different times so that the robots may operate without continually accounting for the locations of the other robots and workers operating in the particular site, without continually planning or updating paths after determining an initial path, and without continuously adjusting movements as the robots near one another. The spatiotemporal robotic navigation involves generating spatiotemporal plans. Each plan has a set of objectives that a robot is to execute by different time intervals. Each plan is generated so as to not conflict with the resources being accessed by other robots at time intervals set in the plans of other robots.

Spatiotemporal robotic navigation

Provided are systems and methods by which robots predictively detect objects that may obstruct robotic tasks prior to the robots performing those tasks. For instance, a robot may receive a task, and may obtain dimensions of a task object based on a first identifier obtained with the task or with a sensor of the robot. The robot may determine a first boundary for moving the task object based on the task object dimensions and an added buffer of space that accounts for imprecise robotic operation. The robot may detect a second identifier of a neighboring object, and may obtain dimensions of the neighboring object using the second identifier. The robot may compute a second boundary of the neighboring object based on the dimensions of the neighboring object and a position of the second identifier, and may detect an obstruction based on the second boundary crossing into the first boundary.

Predictive robotic obstacle detection

Increased robotic sophistication and more efficient autonomous operation is implemented by providing separate physical autonomous robots shared and remote access to the sensory array and information from the sensory array of one another. Each robot can access a sensor of any other robot, or scans or other information obtained from the sensor of any other robot. The robots leverage the shared sensory access in order to perform batch order fulfillment, dynamic rearrangement of item or tote locations, and opportunistic charging. These coordinated robotic operations based on the shared sensory access increase the efficiency and productivity of the robots without adding resources or hardware to the robots, increasing the speed of the robots, or increasing the number of deployed robots.

Autonomous robots performing concerted operation based on shared sensory access and holistic flow of information

Coordinated operation of two or more autonomous robots is based on a clustered partitioning of a collective set of operations and/or tasks that the robots perform simultaneously. The clustered partitioning may include generating a set of clusters with each cluster of the set of clusters allocating a different subset of the collective set of operations and/or tasks to a different robot such that the set of clusters results in a least amount of cumulative distance that the robots traverse in performing each operation and/or task of the collective set, and a maximum amount of distance separating the robots when performing each operation and/or task. Each cluster may be assigned to a different robot with the collective set of assigned clusters causing the robots to operate and move in a coordinated efficient and nonconflicting manner.

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Van Nuys, CA, United States of America

William Shane Simpson Grant