Intrinsic Innovation LLC

Lucas Whitaker

Michael Stark

Sivaramakrishnan Swaminathan

Manushree Gangwar

Eyrun Eyjolfsdottir

Alex Schlegel

Marco Carra

Karthikeyan Yuvaraj

Peter So

Scott Bandy

A method for generating training data can include: determining a set of images; determining a set of masks based on the images; determining a first mesh based on the set of masks; optionally determining a refined mesh by recomputing the first mesh; optionally determining one or more faces of the refined mesh; optionally adding one or more keypoints to the refined mesh; optionally determining a material property set for the object; optionally generating a full object mesh; determining one or more scenes; optionally determining training data based on the one or more scenes; optionally training one or more object detectors using the training data; and detecting one or more objects using the trained object detector.

Method and system for generating training data

The system can include: a container no, a set of sensors, and a controller. The system can optionally include a robot. However, the systemcan additionally or alternatively include any other suitable set of components. The system functions to monitor and/or maintain a fullness level of a container. The system can additionally or alternatively function to enable robotic picking out of the container (e.g., in a pick-and-place setting). The system can additionally function to maintain candidate objects within reach of the robot's end effector to increase robot uptime while minimizing the extent of the robot's required motion (e.g., in the z-axis).

Method and system for monitoring a container fullness comprising a lift mechanism to mody the working depth of the container

The system can include: a container, a set of sensors, and a controller. The system can optionally include a robot. However, the systemcan additionally or alternatively include any other suitable set of components. The system functions to monitor and/or maintain a fullness level of a container. The system can additionally or alternatively function to enable robotic picking out of the container (e.g., in a pick-and-place setting). The system can additionally function to maintain candidate objects within reach of the robot's end effector to increase robot uptime while minimizing the extent of the robot's required motion (e.g., in the z-axis).

Method and system for robotic pick-and-place comprising a container floor mounted to a transformable end of a lift mechanism and a set of container walls to define a container working volume with a working depth extends beyond a picking workspace of a robotic arm

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Union City, CA, United States of America

Lucas Whitaker