The launch also includes the introduction of the Qualcomm Dragonwing IQ10 Series, a high-performance processor aimed at powering industrial autonomous mobile robots (AMRs) and advanced humanoid systems.
The new processor expands Qualcomm’s robotics roadmap, offering what the company describes as the “brain of the robot” with energy-efficient, edge AI capabilities. According to Qualcomm, the technology is intended to accelerate the transition from prototypes to fully deployable intelligent machines.
“As pioneers in energy-efficient, high-performance physical AI systems, we know what it takes to make even the most complex robotics systems perform reliably, safely, and at scale,” said Nakul Duggal, executive vice president and group general manager for automotive, industrial and embedded IoT and robotics at Qualcomm Technologies. “By building on our strong foundational technologies—from sensing and perception to planning and action – we’re moving intelligent machines out of the labs and into real-world environments.”
The architecture leverages Qualcomm’s expertise in low-power, high-performance computing to enable advanced perception, motion planning, and human-robot interaction. It supports end-to-end AI models, including vision-language and action-based systems, to deliver generalised manipulation capabilities.
Industry partners are already adopting the platform. Figure, a robotics company focused on developing general-purpose humanoid robots, highlighted the role of Qualcomm’s technology in its mission. “Qualcomm Technologies’ platform, with its combination of exceptional compute capabilities and energy efficiency, is a valuable building block in enabling Figure to turn our vision into reality,” said Brett Adcock, founder and chief executive officer of Figure.
The Dragonwing IQ10 processor is designed to scale across multiple form factors with industrial-grade reliability. Qualcomm confirmed that its technology currently powers humanoid robots from companies such as Booster and VinMotion and is in discussions with Kuka Robotics for next-generation solutions.
By combining heterogeneous edge computing, mixed-criticality systems, and machine learning operations within a collaborative ecosystem, Qualcomm aims to accelerate the development of deployment-ready robotics solutions.
The company says this approach will help overcome the “last-mile” challenge and enable faster innovation across industries.
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