Qualcomm launches a complete set of robotics technologies to empower embodied intelligence from home robots to full-size humanoid robots.
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On Monday, Qualcomm unveiled a new generation of “full-stack” robotics architecture at CES in Las Vegas, integrating hardware, software, and hybrid AI. The goal is to power various forms, from small home robots to full-sized humanoid robots.
At the same time, Qualcomm also announced its latest high-performance robotics processor—the Qualcomm Dragonwing™ IQ10 series, targeting industrial autonomous mobile robots (AMRs) and advanced full-size humanoid robots.
This is the company’s latest generation of processors built specifically for robotics, further expanding its existing robotic product lineup, and providing a high-performance, low-power “brain” for robots. Qualcomm stated that, leveraging its mature experience in edge AI and high-performance, low-power systems, this innovation can transform prototype products into deployable intelligent machines.

Regarding this, Nakul Duggal, Executive Vice President and Group General Manager of Qualcomm Automotive, Industrial & Embedded IoT and Robotics Business, said:
“As pioneers of highly efficient, high-performance physical AI systems, we know what it takes for the most complex robotic systems to operate reliably and safely at scale. By building on our low-latency, safety-grade high-performance technologies—a complete chain covering perception, cognition, planning, and execution—we are redefining the possibilities of physical AI, bringing intelligent machines from the lab into real-world applications.”
Qualcomm says it is working with multiple companies within its robotics platform ecosystem, including Advantech, APLUX, AutoCore, Booster, Figure, Kuka Robotics, Robotec.ai, among others, aiming to enable large-scale deployment-ready robotic applications.
Among them, as Figure expands its humanoid robot platform, Qualcomm Technologies is collaborating to jointly define the next-generation computing architecture. Brett Adcock, founder and CEO of Figure, said:
“Figure’s mission is to develop general-purpose humanoid robots driven by advanced AI to eliminate dangerous and undesirable jobs, improve productivity across industries, and create economic abundance, so that humanity can enjoy happier and more purposeful lives. Qualcomm’s platform strikes an excellent balance between powerful computing capacity and outstanding energy efficiency, serving as a key cornerstone for turning Figure’s vision into reality.”
Building on a Solid Foundation: From Concept to Deployment
Qualcomm says this universal robotics architecture leverages its strengths in energy efficiency, scalability, and edge AI performance to usher in a new era of autonomous robots and connected intelligence.
Currently, the Dragonwing industrial processor roadmap already supports various forms of general-purpose robots, including industry-leading humanoid robots from global manufacturers such as Booster, VinMotion, etc. The architecture supports advanced perception capabilities and utilizes end-to-end AI models (such as VLA and VLM) for motion planning, achieving universal operational and human-robot interaction abilities.
Among them, Qualcomm has partnered with Vietnamese robotics company Vinmotion to launch the Motion 2 robot—a general-purpose humanoid robot. In a video released by Vinmotion on YouTube last week, some capabilities of the robot were showcased: it can punch through a wooden plank, squat down to pick up a small teddy bear from the ground, and bend its back in a way that most people over 30 can only “imagine doing.”
The company states that the launch of the Dragonwing IQ10 is an important step for Qualcomm towards large-scale deployment of industrial applications in the real world. At the same time, Qualcomm is in discussions with Kuka Robotics regarding its next-generation robotics solutions.
Full-Stack Architecture
According to Qualcomm, the universal robotic architecture equipped with Dragonwing IQ10 redefines the possibilities of robotics technology by integrating powerful heterogeneous edge computing, edge AI, mixed-critical systems, software, ML operations, and the AI data flywheel.
The company states that this system is supported by an ever-growing ecosystem of partners, complemented by a comprehensive developer toolkit. The end-to-end holistic solution allows robots to intelligently reason and adapt to spatial and temporal environments and achieve industrial-grade reliability with scalability across various forms. This collaborative network accelerates the development of deployable robotic solutions, solves the problem of the “last mile,” and drives faster and larger-scale innovation across industries.
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