Intelligent Robot Path Planning System for Grinding of Aircraft Propeller Blades

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8571-19-C-A016
Agency Tracking Number: F19A-004-0149
Amount: $149,680.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19A-T004
Solicitation Number: 2019.1
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-09
Award End Date (Contract End Date): 2020-07-09
Small Business Information
100 Northeast Loop 410, San Antonio, TX, 78216
DUNS: 193786014
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Matt Robinson
 (210) 522-5823
Business Contact
 David Kortenkamp
Phone: (281) 461-7886
Research Institution
 Southwest Research Institute
 Matt Robinson
 6220 Culebra Road
San Antonio, TX, 78238
 (210) 522-5823
 Federally funded R&D center (FFRDC)
Grinding, sanding, or buffing tasks (which we generalize as blending tasks) are critical processes for many manufacturers, especially in aerospace.Robotic blending solutions are desired that combine the flexibility and agility of a manual process with the repeatability and safety of a robotic system.This proposal seeks to deliver a robust robotic software suite to address the Air Force's specific challenges for propeller grinding.Our proposed solution combines Southwest Research Institute's existing robotic blending techniques (which focus on surface segmentation, tool planning for blending, and trajectory optimization) with TRACLabs' CRAFTSMAN framework (which focuses on multi-limb, multi-robot navigation and manipulation programming via graphical user interfaces).We call this integrated system CAMBR.CAMBR will enable a new approach to propeller blade remanufacturing and to robotic blending tasks in general.Our aims for Phase I are 1) to evaluate and integrate the existing technologies that support Path Planing for Surface Processing, and 2) to implement the necessary visualization tools for dense surface-processing plans to provide an intuitive operator interface for plan verification and editing.The proof-of-concept CAMBR system will be demonstrated in simulation.

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

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