Boston, MA – February 24, 2026 – Flexxbotics, the autonomous manufacturing platform leader, today announced it will present at the ARM Institute’s Smarter Manufacturing, Faster Production conference on February 25, 2026 in Pittsburgh, PA. The event is hosted by the Advanced Robotics for Manufacturing (ARM) Institute’s Robotics Manufacturing Hub to bring together manufacturers, industry experts, and next generation solution providers to explore practical applications of automation, robotics, and AI in real-world production environments.
Flexxbotics will showcase how software-defined automation enables companies to accelerate the adoption of robotic production with high compliance and security to scale manufacturing autonomy utilizing autonomous process control in heterogeneous factory environments across critical industries.
Advancing Robotic Production in Critical Industries
The ARM Institute focuses on helping manufacturers achieve success with factory automation through benchmarking, reference architectures, and production use cases. At the event, Flexxbotics will share how software-defined automation enables many-to-many interoperable orchestration of advanced robotics, factory machines, PLCs, vision systems, inspection equipment, and other plant assets for lights out manufacturing. Additionally, Flexxbotics will explain how high-frequency multimodal data capture, contextualization, and enrichment is used for Industrial AI and Physical AI model training and inference.
These capabilities directly address the challenges highlighted by the ARM Institute, including workforce readiness, system integration complexity, and the need for scalable automation solutions that can be deployed across U.S. manufacturers of all sizes.
“Manufacturers are no longer limited by whether robots can perform a task, they’re limited by how quickly and reliably those robots can be incorporated into production processes,” said Tyler Bouchard, CEO and Co-Founder of Flexxbotics. “At the ARM Institute, we’re showing how software-defined automation can eliminate integration barriers, enabling industrial robots and factory automation to scale faster than ever to help America reindustrialize.”
Supporting the ARM Institute Mission for U.S. Manufacturing
The ARM Institute is a national Manufacturing Innovation Institute (MII) organization funded by the Office of the Secretary of Defense and is part of the Manufacturing USA® network that brings together over 450 organizations across industry, government, and academia to advance robotics and AI adoption in U.S. manufacturing. Its Robotics Manufacturing Hub provides manufacturers with hands-on access to advanced technologies, helping them evaluate and implement automation solutions that improve competitiveness and resilience.
Flexxbotics’ participation aligns with the ARM Institute mission by delivering best practice insights along with production-ready software that includes open-source extensibility to enable advanced deployments of industrial robotics and automation for rapid factory deployment.
Download the Flexxbotics SDA runtime, Studio, and API (no time limits or feature restrictions) at https://flexxbotics.com/download/
Visit the Flexxbotics open-source GitHub repository for connector drivers to over 1000 makes & models of factory machines and automation at https://github.com/flexxbotics/transformers
Event Details
Event: Smarter Manufacturing, Faster Production
Date: February 25, 2026
Location: ARM Institute, Pittsburgh PA
About ARM Institute
About Flexxbotics
Flexxbotics is the autonomous manufacturing platform for closed-loop production and Industrial AI. The Flexxbotics Platform turns high compliance environments from reactive to proactive by extending the knowledge of experienced plant personnel to enable intelligent operations and factory optimization at scale. The platform connects real-time production data to operating rules and authorized actions to increase capacity, improve yields, and reduce downtime by scaling human expertise. Visit www.flexxbotics.com to learn more and follow us on LinkedIn.