Paul Jakob SCHROEDER - Brookline MA, US Ilya A. KRIVESHKO - Boxborough MA, US Marek WARTENBERG - Westbrook ME, US Brad C. MELLO - Cambridge MA, US Clara VU - Cambridge MA, US Scott DENENBERG - Newton MA, US Abraham K. FELDMAN - Somerville MA, US
International Classification:
B25J 9/16 B25J 13/08 B25J 11/00 B25J 9/08
Abstract:
Various embodiments for enforcing safe operation of machinery performing an activity in a three-dimensional (3D) workspace includes computationally generating a 3D spatial representation of the workspace; computationally mapping 3D regions of the workspace corresponding to space occupied by the machinery and a human; and based thereon, restricting operation of the machinery in accordance with a safety protocol during physical performance of the activity.
Safe Operation Of Machinery Using Potential Occupancy Envelopes
Brad C. MELLO - Cambridge MA, US Marek WARTENBERG - Westbrook ME, US Paul Jakob SCHROEDER - Brookline MA, US Clara VU - Cambridge MA, US Scott DENENBERG - Newton MA, US
International Classification:
B25J 9/16 B25J 13/08 B25J 11/00
Abstract:
Various embodiments for enforcing safe operation of machinery performing an activity in a three-dimensional (3D) workspace includes computationally generating a 3D spatial representation of the workspace; computationally mapping 3D regions of the workspace corresponding to space occupied by the machinery and a human; and based thereon, restricting operation of the machinery in accordance with a safety protocol during physical performance of the activity.
Workpiece Sensing For Process Management And Orchestration
Brad C. Mello - Cambridge MA, US Paul Jakob Schroeder - Brookline MA, US Scott Denenberg - Newton MA, US Clara Vu - Cambridge MA, US
International Classification:
G06T 17/00 G06T 15/00 G06T 15/08
Abstract:
Systems and methods for identifying a workpiece in a processing environment may utilize one or more sensors for digitally recording visual information and providing that information to an industrial workflow. The sensor(s) may be positioned to record at least one image of the workpiece at a location where a specified position and orientation thereof is required. A processor may determine, from the recorded image(s) and a stored digital model, whether the workpiece conforms to the specified position and orientation.
System Identification Of Industrial Robot Dynamics For Safety-Critical Applications
Scott DENENBERG - Newton MA, US Brad C. MELLO - Cambridge MA, US Matthew GALLIGAN - Boston MA, US Clara VU - Cambridge MA, US Patrick SOBALVARRO - Harvard MA, US Marek WARTENBERG - Westbrook ME, US Alberto MOEL - Cambridge MA, US
International Classification:
B25J 9/16 B25J 13/08
Abstract:
Embodiments of the present invention provide automated robotic system identification and stopping time and distance estimation, significantly improving on existing ad-hoc methods of robotic system identification. Systems and methods in accordance herewith can be used by end users, system integrators, and the robot manufacturers to estimate the dynamic parameters of a robot on an application-by-application basis.
Brad Mello 1983 graduate of Oliver Ames High School in North easton, MA is on Memory Lane. Get caught up with Brad and other high school alumni from Oliver Ames High School.