GrayMatter Robotics Awarded AFWERX Phase II Contract to Develop AI-Powered Robotic System for Canopy Sanding | RoboticsTomorrow

CARSON, CA (Los Angeles County) Jan. https://www.roboticstomorrow.com/data/2026/01/15/graymatter-robotics-awarded-afwerx-part-ii-contract-to-produce-ai-powered-robotic-machine-for-canopy-sanding/26019/15, 2026 — GrayMatter Robotics, a jog-setter in AI-powered robotic floor ending alternate solutions, this day introduced it has been awarded a Miniature Industry Innovation Research (SBIR) Fragment II contract by AFWERX, the innovation arm of the Department of the Air Force, to present an self reliant robotic machine for the precision sanding of canopies.

The Fragment II contract builds upon GrayMatter’s proven abilities in physics-educated AI and adaptive robotic programs, extending the corporate’s leap forward floor ending abilities to address one in all aviation repairs’s most stressful and serious initiatives. The Neat Robotic Canopy Sanding Design will target repairs and restore operations for acrylic and polycarbonate parts that derive scratches and floor harm on internal and exterior surfaces all over their carrier lifestyles.

“Handbook canopy restore is one in all essentially the most stressful precision initiatives in plane repairs, requiring unheard of skill and drinking precious technician hours that is also deployed in other areas,” stated Ariyan Kabir, CEO and co-founder of GrayMatter Robotics. “Our machine will bring the consistency and precision needed to restore optical readability while dramatically decreasing repairs time and putting off the vary that results in remodel.”

The machine leverages GrayMatter’s proprietary GMR-AI™ platform, integrating superior 3D sensing, force-adaptive withhold watch over, and self reliant trajectory abilities and adaptation to call and systematically take away floor defects while keeping the cover’s optical properties and structural integrity. The robotic solution adapts in proper time to address the complex geometries and various defect patterns encountered all over various plane platforms.

“This contract represents a pure evolution of our bodily AI abilities into aerospace repairs capabilities,” stated Dr. Satyandra Passable. Gupta, chief scientist and co-founder of GrayMatter Robotics. “The same adaptive intelligence that allows our programs to address thousands of outlandish parts in manufacturing environments will now again the exacting requirements of optical floor restoration. We’re in fact instructing robots to copy and surpass the abilities of the professional repairs technicians.”

Key technical improvements of the Neat Robotic Canopy Sanding Design consist of:

• Self reliant Harm Detection: Developed imaginative and prescient programs that name and classify scratches, hazing, and other floor defects

• Adaptive Direction of Regulate: Right-time adjustment of sanding parameters based fully on self-discipline cloth thickness, scratch depth, and optical requirements

• Quality Assurance Integration: In-process monitoring and documentation to be determined consistent restore quality and traceability

The machine is designed to combine seamlessly into present depot- and self-discipline-diploma repairs workflows, offering a scalable, data-driven reach to canopy restore that helps lengthen carrier lifestyles and crimson meat up plane availability all around the Air Force rapid.

This most up-to-date AFWERX contract adds to GrayMatter Robotics’ rising portfolio of defense and aerospace capabilities, following the corporate’s different as a winner in the U.S. Navy’s Developed Manufacturing Innovation for Maritime Readiness Issue in August 2025.

The Fragment II effort will consist of extensive attempting out and validation in collaboration with Air Force repairs facilities, with preliminary prototype demonstrations deliberate for later this year. GrayMatter Robotics expects the abilities developed below this contract to have mammoth capabilities all over defense force and business aviation repairs operations.

About GrayMatter Robotics

GrayMatter Robotics, headquartered in Carson, California, designs superior, physics-educated, AI-driven robotic cells that empower high-mix producers to tackle complex, ergonomically stressful floor ending initiatives, equivalent to sanding, grinding, buffing, polishing, blasting, and spraying. Featuring proprietary applied sciences admire GMR-AI™, GMR-Guardian™, GMR-Care™, GMR-Insights™, and GMR-ProcessPro™, GrayMatter Robotics enhances productiveness, safety, and sustainability thru streamlined, turnkey automation accessible to producers of all sizes. Based in 2020, the corporate serves various manufacturing sectors, including aerospace and defense, marine and boat constructing, area of abilities autos, long-established manufacturing, and recreation and user products. Named one in all Rapid Firm’s most innovative companies in robotics and engineering for 2025, GrayMatter Robotics is accelerating the transformation of American manufacturing. For added data, seek recommendation from www.graymatter-robotics.com.

About AFWERX

As the innovation arm of the Department of the Air Force (DAF) and a directorate internal the Air Force Research Laboratory, AFWERX brings cutting-edge American ingenuity from shrimp companies and begin-united states of americato tackle essentially the most pressing challenges of the DAF. AFWERX employs approximately 325 defense force, civilian, and contractor personnel at five hubs and sites executing an annual $https://www.roboticstomorrow.com/data/2026/01/15/graymatter-robotics-awarded-afwerx-part-ii-contract-to-produce-ai-powered-robotic-machine-for-canopy-sanding/26019/1.4 billion budget. Since 20https://www.roboticstomorrow.com/data/2026/01/15/graymatter-robotics-awarded-afwerx-part-ii-contract-to-produce-ai-powered-robotic-machine-for-canopy-sanding/26019/19, AFWERX has completed 4,697 contracts value extra than $2.6 billion to crimson meat up the U.S. defense industrial irascible and power sooner abilities transition to operational capacity. For added data, seek recommendation from afwerx.com.