Physical AI is moving from individual breakthroughs toward real-world system integration. For robots to operate safely and reliably, AI models, software, compute, sensors and actuators must work together. The industry also needs a clearer way to describe what these systems can do.
At FMC³ Robotics, we see this challenge from the perspective of industrial embodied AI and multimodal data. Our data collection products, including head-mounted devices and data gloves, can capture human demonstrations and task-related signals that help connect real-world work with capability requirements.
Today Arm introduced a Robotics Capability Framework that seeks to address this need by offering a common, architecture-agnostic language for defining robotic capabilities. It connects real-world use cases with system behavior and requirements, while leaving room for different hardware, software, AI models and deployment architectures. The levels of the framework provide a way to discuss capability progression without reducing a robot to a single label.FMC³ is pleased to support this initiative and looks forward to contributing to the evolution of the framework alongside other leaders in the robotics industry.
“Physical AI will enable the next generation of intelligent robots, but real-world deployment requires seamless integration across computing, AI, software and robotics systems. A Robotics Capability Framework provides an important foundation to connect these capabilities and accelerate the development of integrated Physical AI systems. At FMC³ Robotics, we are developing our AI Brain platform for real-world industrial applications, enabling robots to execute complex tasks through multimodal data and advanced AI technologies. Together with Arm and ecosystem partners, we are excited to accelerate the deployment of intelligent robots in industrial environments.”
- Dr. Joachim Fetzer, President of Europe, FMC³ Robotics
Looking ahead, FMC³ Robotics is exploring additional opportunities to collaborate with Arm around the future of physical AI, including Arm® Total Design for Physical AI. This ecosystem brings together partners across software stacks, AI models, sensors, compute hardware, virtual platforms and digital twins to support earlier development and validation, reduce integration risks and accelerate the path from proof of concept to deployment.
“Human demonstrations and real-world task data can provide valuable insight into the capabilities robots need to develop. FMC³’s expertise in industrial robotics and multimodal data will help us shape a Robotics Capability Framework for the industry, and we look forward to exploring how we can build on that work together through Arm Total Design for Physical AI.”
- Dermot O’Driscoll, Vice President of Go-to-Market, Physical AI, Arm
Physical AI will not be scaled by one company or one technology alone. It will depend on an ecosystem built on shared capabilities, clear expectations and practical collaboration. FMC³ Robotics looks forward to working with Arm and the broader robotics community to help bring intelligent robotics into reliable, real-world use.
