Uploaded March 2024 | Updated September 2026, 12 hours ago
Manufacturers need more qualified workers and automation technologies to speed production and achieve consistent quality. Surface finishing represents a large portion of manufacturing operations, including sanding, polishing, grinding, and coating used to manufacture parts made from metal and composite.
Traditionally robots have been used only in mass-production applications. Manually programming robots is not viable in high-mix applications. The availability of 3D vision and force sensors enables robots to operate without custom fixtures and accommodate part and fixture variability. Now, advances in AI and affordability allow robots to be used in high-mix applications, amplifying human productivity to deal with labor shortages.
This is an overview of physics-informed AI (GMR-AI™) developed by GrayMatter Robotics, enabling smart robotic cells to program themselves from the high-level task descriptions. We’ll also cover how robotic cells utilize sensor data to adapt the programs to deliver efficient and safe operational performance in high-mix sanding and polishing applications. These surface finishing solutions ensure quality consistency and increased productivity and enable manufacturers' production scalability.
Biography:
Dr. Ariyan Kabir is the Co-Founder & CEO of GrayMatter Robotics, one of the fastest-growing AI-Robotics companies disrupting the manufacturing industry. He and his team are building solutions to help manufacturers improve shop floor workers’ quality of life, increase production capacity, and reduce costs. Ariyan is an entrepreneur and problem solver with a background in robotics and artificial intelligence. He built smart robotic assistants during his Ph.D. while developing planning and learning algorithms for high-degree-of-freedom systems. Ariyan authored multiple patents and several research articles in prestigious forums. His work has received global recognition, including National Science Foundation and Robotics Business Review awards. His work has been featured at the main stage of WebSummit and by the Society of Manufacturing Engineers.
Manufacturers need more qualified workers and automation technologies to speed production and achieve consistent quality. Surface finishing represents a large portion of manufacturing operations, including sanding, polishing, grinding, and coating used to manufacture parts made from metal and composite.
Traditionally robots have been used only in mass-production applications. Manually programming robots is not viable in high-mix applications. The availability of 3D vision and force sensors enables robots to operate without custom fixtures and accommodate part and fixture variability. Now, advances in AI and affordability allow robots to be used in high-mix applications, amplifying human productivity to deal with labor shortages.
This is an overview of physics-informed AI (GMR-AI™) developed by GrayMatter Robotics, enabling smart robotic cells to program themselves from the high-level task descriptions. We’ll also cover how robotic cells utilize sensor data to adapt the programs to deliver efficient and safe operational performance in high-mix sanding and polishing applications. These surface finishing solutions ensure quality consistency and increased productivity and enable manufacturers' production scalability.
Biography:
Dr. Ariyan Kabir is the Co-Founder & CEO of GrayMatter Robotics, one of the fastest-growing AI-Robotics companies disrupting the manufacturing industry. He and his team are building solutions to help manufacturers improve shop floor workers’ quality of life, increase production capacity, and reduce costs. Ariyan is an entrepreneur and problem solver with a background in robotics and artificial intelligence. He built smart robotic assistants during his Ph.D. while developing planning and learning algorithms for high-degree-of-freedom systems. Ariyan authored multiple patents and several research articles in prestigious forums. His work has received global recognition, including National Science Foundation and Robotics Business Review awards. His work has been featured at the main stage of WebSummit and by the Society of Manufacturing Engineers.
