Carnegie Mellon University

Deere & Company

Jaime W Bourne

Herman Herman

James Andrew Bagnell

Aaron J Bruns

John M Hageman

Tarik Loukili

Vladimir Altman

Neil Stegall

Srinivasa Narasimhan

Christopher Chandler Fromme

Jose Gonzalez-Mora

Richard Pantaleo

Joan Campoy

Karl Muecke

D W Wilson Hamilton

Victor S Sierra

Elliot Allen Cuzzillo

Raphael Bouterige

Jeffrey David McMahill

Jean-Phillipe Tardif

Jason Kulk

Neil Frederick Stegall

Richard D Pantaleo

Vladimir A Altman

An intelligent, autonomous interior cleaning robot capable of autonomously mapping and cleaning multiple rooms in a house in an intelligent manner is described. Various combinations of passive and active sensors may be used to perform mapping, localization, and obstacle avoidance. In particular, the robot uses stereo cameras with a static projected light pattern to generate 3D data. In addition, the robot may use optical sensors in various locations, laser ToF sensors, inertial measurement units and visual odometry to enhance the localization and mapping capabilities.

Intelligent cleaning robot

A self-guided blossom picker uses a vision system to identify and locate blossoms or inflorescence growing on a plant. The device can be towed by a tractor or it can be self-propelled. Image data captured by the vision system is sent to an machine vision module, which interprets the data and identifies a location of blossom. A controller uses the location data to command a picker to the proper location. A cutter on the picker is actuated to remove the blossom.

Self-guided blossom picking device

A system for creating a near-spherical point cloud of RGBD data includes one or more sensing units for providing depth data, each sensing unit having a stereo pair of sensors fitted with the wide-angle lens from which a one-dimensional line of pixels is read, and one or more lasers for illuminating the single line of pixels, the sensing units mounted on a spinning platform. The spinning platform is mounted on the base having a plurality of cameras mounted therein for providing 360-degree RGB data.

Energy optimized imaging system with 360 degree field-of-view

Disclosed herein is a system for evaluating agricultural material which comprises, in one embodiment, a housing having a passage in or through an interior of the housing with an inlet for receiving agricultural material and an outlet for outputting the agricultural material. The system further comprises a wall opening in a wall of the passage. An imaging device having a lens is located inward from a border of the imaging device. The imaging device is pivotally mounted for rotation with respect to a housing such that in a closed state the border of the imaging device rests on, engages or interlocks the wall opening of the housing, and in an open state the border exposes the wall opening and an interior of the housing.

System for evaluating agricultural material

Growing community of inventors

Pittsburgh, PA, United States of America

Jaime W Bourne