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Easy-to-use, Autonomous Bin-picking and Assembly Operations for the Manufacturing Industry

Award Information
Agency: Department of Commerce
Branch: National Institute of Standards and Technology
Contract: 70NANB20H110
Agency Tracking Number: 045-FY19-73 (PII)
Amount: $400,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 9.0
Solicitation Number: 2020-NIST-SBIR-02
Timeline
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-09-15
Award End Date (Contract End Date): 2022-09-01
Small Business Information
1860 38th St., Boulder, CO, 80309
DUNS: 804691280
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Nikolaus Correll
 (303) 717-1436
 nikolaus@roboticmaterials.com
Business Contact
 Nikolaus Correll
Phone: (303) 717-1436
Email: nikolaus@roboticmaterials.com
Research Institution
N/A
Abstract
We will develop a series of object manipulation primitives to pick up and assemble standard mechanical parts such as screws, gears and pulleys that can be configured without any programming skills. Building up on a smart robotic gripper, 3D perception and machine learning algorithms, we will design a graphical user interface that allows an user to label arbitrary 3D objects, identify assembly points, and issue pick-up and assembly commands, which are modeled by standard industrial assembly tasks that have been identified by NIST’s manufacturing group. Specifically, we will provide routines for peg-in-hole and hole-on-peg assemblies that are defined by circular or rectangular holes or extrusions, as well as pick-up routines for arbitrary objects from clutter or in bins. The underlying algorithms have already been validated, making the focus of this proposal to develop interfaces that make their configuration as simple as possible, only requiring a user to present an individual object, labeling it, and selecting a desired action. This Phase II proposal will extend this approach to a larger class of objects and tasks and lead to deployment with real users.

* Information listed above is at the time of submission. *

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