Lineage Logistics, LLC

Cloud 9 Perception, Inc.

Lineage Lineage, LLC

Eckman, Christopher Frank

Baijens, Frank

Walet, Daniel

Christopher Frank Eckman

Elliott Gerard Wolf

Brady Michael Lowe

Frank Baijens

Alexander Ming Zhang

Maxwell Micali

Brian Gutschow

Alexander Hall

Daniël Walet

Alexander James Woolf

Sudarsan Thattai

Richard Frederick Warlich

Antonio Rocha

Ricky Paul Chin

Daniel Thomas Wintz

Caitlin Voegele

Gabriel Len West

James Francis Staud

Charles Inokon

Michael Buenger

Tony Caetano

Aalam Shaikh

Daniél Walet

Chris McMurrough

Tony Taurone

Daniel Walet

This specification describes systems and methods for generating a mapping of a physical space from point cloud data for the physical space. The methods can include receiving the point cloud data for the physical space, filtering the point cloud data to, at least, remove sparse points from the point cloud data, aligning the point cloud data along x, y, and z dimensions that correspond to an orientation of the physical space, and classifying the points in the point cloud data as corresponding to one or more types of physical surfaces. The methods can also include identifying specific physical structures in the physical space based, at least in part, on classifications for the points in the point cloud data, and generating the mapping of the physical space to identify the specific physical structures and corresponding contours for the specific physical structures within the orientation of the physical space.

Generating mappings of physical spaces from point cloud data

An automated warehouse system can include automated pallet movers, a physical space in which the automated pallet movers operate, and a control system to provide commands to each of the automated pallet movers for operating in the physical space. The commands can include a pallet transportation command including a pallet identifier of a pallet to be transported by the automated pallet mover in the physical space, and a destination location to which the pallet is to be transported by the automated pallet mover. The commands can also include a control algorithm command that specifies a control algorithm for moving through the physical space. The automated pallet mover can be configured to transport the pallet to the destination location according to a route resulting from performance of the control algorithm, while other automated pallet movers concurrently transport other pallets to other destination locations.

Controlling automated pallet movers

This document generally describes warehousing systems that can, in certain instances, improve the efficiency of warehousing operations and improve utilization of available space in a warehousing facility. The warehousing system may be implemented in an automated warehouse, such as an automated cold-storage facility, that uses programmable equipment to automate tasks associated with warehousing operations, such as transporting inbound storage items to specified storage positions of storage racks in the warehouse and removing outbound storage items from storage so that they may be loaded onto trucks for delivery away from the warehouse.

Automated warehouse improvements

This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Point cloud filtering

In general, one aspect of the subject matter described in this specification can be embodied in an anti-fogging apparatus for a camera assembly. The anti-fogging apparatus includes a camera affixed to a substrate, and a thermally conductive plate, the thermally conductive plate positioned in front of the substrate and defining a first aperture aligned with a lens of the camera. The anti-fogging apparatus includes a transparent plate positioned in front of the thermally conductive plate such that the transparent plate covers said first aperture. The anti-fogging apparatus includes an insulating element positioned in front of the transparent plate and defining a second aperture aligned with the first aperture. The anti-fogging apparatus includes a heating element affixed to the thermally conductive plate. The anti-fogging apparatus includes a case enclosing the camera, the thermally conductive plate, the transparent plate, the insulating element, and the heating element.

Lens heater assembly for camera

A system is provided for automatic identification and annotation of objects in a point cloud in real time. The system can automatically annotate a point cloud that identifies coordinates of objects in three-dimensional space while data is being collected for the point cloud. The system can train models of physical objects based on training data, and apply the models to point clouds that are generated by various point cloud generating devices to annotate the points in the point clouds with object identifiers. The solution of automatically annotated point cloud can be used for various applications, such as blueprints, map navigation, and determination of robotic movement in a warehouse.

Point cloud annotation for a warehouse environment

A layer pick system optimizes usage of a layer picker gantry or robotic arm by arranging and/or displacing the gantry or arm in optimal locations with respect to one or more groups of pallets, and/or by grouping pallets by their attributes and arranging the same group of pallets close to each other. In some implementations, a plurality of pallets is categorized into multiple groups by different velocities.

Automatic transportation of pallets of goods

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San Francisco, CA, United States of America

Christopher Frank Eckman