Fetch Robotics, Inc.

Zebra Technologies Corporation

Aaron Hoy

Melonee Wise

David Dymesich

Stefan Nusser

Brian Cairl

Levon Avagyan

Niharika Arora

David Robson

Carl Saldanha

Robert Chatman, Iii

Derek King

Steffen Fuchs

Jenna Guergah

Brian Richard Cairi

Robert Isaiah Chatman, Iii

Vishnu Sudheer Menon

Alison Cheng

Katrin Beauchaud

A method includes: capturing, via a navigational sensor of a mobile automation apparatus, three-dimensional point cloud data depicting a portion of an aisle containing a support structure, the support structure having a forward plane facing into the aisle; generating, from the point cloud data, a two-dimensional projection in a facility coordinate system; retrieving, from a stored map, an expected location of the forward plane of the support structure in the facility coordinate system; selecting, from the projection, a subset of regions satisfying a positional criterion relative to the location of the forward plane; determining, based on the selected subset of regions from the projection, an actual location of the forward plane of the support structure in the facility coordinate system; and providing the actual location of the forward plane to a navigational controller of the mobile automation apparatus.

System and method for support structure detection

A method includes: maintaining a map of occupied regions of a facility; controlling a sensor of a mobile apparatus to capture sensor data within a field of view (FOV); based on a current location of the mobile apparatus in the facility, identifying an unobservable occupied region, located outside the FOV, in the map; selecting, from the map, a first reference occupied region having a first reference identifier, and a second reference occupied region having a second reference identifier; generating a first connection score associating the unobservable occupied region with the first reference occupied region, and a second connection score associating the unobservable occupied region with the second reference occupied region; selecting a handling operation for the unobservable occupied region, based on the first and second connection scores; updating the map according to the selected handling operation; and controlling a locomotive assembly of the mobile apparatus according to the updated map.

Methods and systems of navigational state detection for unobservable regions

A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.

Method and system for facility monitoring and reporting to improve safety using robots

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San Jose, CA, United States of America

Aaron Hoy