Plus One Robotics, Inc.

Shaun Edwards

Paul Hvass

Erik Nieves

Jonathan Lwowski

Joshua Justin Curtis

Austin Deric

Daniel Grollman

A vision system and control system for a robotic pack station is disclosed. Robotic pack stations typically include a work cell, which enables the transfer of items from a tote or a bin to a container. The work cell may include one or more of the following: a robotic arm, a vision system, a control system, a conveyor, and a pack platform. The vision system and control system of the present invention identify items and provide instructions to the robotic arm to pick and/or place items in a bin or a tote.

Vision and control systems for robotic pack stations

The present invention relates to systems and methods for accounting for edge cases (i.e. tail data) in automated decision making systems, for example automated robotic picking systems. The systems and methods provide for retraining machine learning (ML) models so that the edge cases can be handled in a manner that requires less (or no) human intervention. The disclosed systems and methods create updated ML models, replacement ML models, and/or supplementary ML models that can provide better performance (e.g. improved automated robotic picking) when edge cases are encountered. Furthermore, the present inventions disclose systems and methods for obtaining training data faster and in a more cost effective manner, which enables the systems and methods disclosed herein to update models at a faster rate, thereby enabling broader, system-wide handling of edge cases in a more effective and efficient manner.

Dynamic machine learning systems and methods for identifying pick objects based on incomplete data sets

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may generate a binary intermediate mask model from 2D image data and 3D data obtained from a background image and a component image. Because the intermediate mask model is binary, erosion and dilation (e.g., 2D data processing) may be used to remove noise from the intermediate mask model. The augmented intermediate mask model with any erroneous and/or missing data corrected, may be applied to the second aligned model. The pixels in the second aligned model that correspond to pixels in the augmented intermediate mask model that are assigned a value of 1 may be identified as foreground pixels. Then, the vision system may generate foreground object data using the 2D image data and the 3D data in the foreground pixels from the second aligned model.

Robotic picking system and method of use

A package scanning conveyance system that integrates a first two-dimensional image with at least a second two-dimensional image or a three-dimensional point clouds to calculate or estimate a package's physical properties, and/or determine if there are two or more packages in a pile. The captured imaging data is transformed by the inventive system to provide real-time feedback to a human operator to enable the operator to maintain an understanding of the system's performance. The imaging data may also be used to perform quality-checks on other parts of the package delivery and conveyance systems and document the condition of packages that have passed through the system.

Systems and methods for identifying package properties in an automated industrial robotics system

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

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San Antonio, TX, United States of America

Shaun Edwards