A9.com, Inc.

Andrew E Hoffman

Nima Keivan

Jonathan Mcqueen

Karl McDowall

Joshua Bavari

Juan Falquez

David Hastings Kerr

Systems, methods, and computer-readable media are disclosed for systems and methods to implement preferred pathways in mobile robots. Example methods may include obtaining, via at least one of a user interface and a corresponding Application Programming Interface API call, at least one preferred pathway for an autonomous mobile robot, transmitting the at least one preferred pathway to the autonomous mobile robot, generating a planned path for the autonomous mobile robot based at least in part on an influence function, the influence function being representative of an amount of bias towards the at least one preferred pathway on a motion planning decision of the autonomous mobile robot, the amount of bias being based at least in part on a metric associated with the at least one preferred pathway, and causing the autonomous mobile robot to move from a start point to an end point along the planned path.

Systems and methods to implement preferred pathways in mobile robots

An autonomous cart moves products and materials in an industrial environment. It is different from conventional carts because it can navigate autonomously indoors or outdoors in dynamic environments where things change frequently. This autonomous cart uses state-of-the-art 'dense' visual perception giving it unequalled and continuous awareness of its surroundings. With this it can operate at a cost, speed, level of safety and efficiency that has never been possible before. This robotic cart makes factories and warehouses more efficient and safer. It enables the movement of smaller batches of material more frequently, reduces the need for expensive conveyor systems, and helps eliminate dangerous and polluting fork trucks from indoor environments.

Autonomous cart for manufacturing and warehouse applications

Growing community of inventors

Morrison, CO, United States of America

Andrew E Hoffman