Qualcomm Technologies unveiled vehicle AI, IoT edge computing and humanoid robotics platforms. Qualcomm said on Monday it announced an expansion of its Snapdragon Digital Chassis solutions and agentic AI-based vehicle technology at CES 2026.

The company expanded cooperation with Google on the Snapdragon platform by combining vehicle software. The resulting Snapdragon Cockpit Elite and Ride Elite platforms were adopted in 10 programs including Li Auto, Leapmotor, Zeekr, Great Wall Motor, NIO and Chery.

Snapdragon Ride Flex is the first commercial system-on-chip integrating digital cockpit and advanced driver assistance system workloads. It has been installed in mass-produced vehicles in eight global programs. Chinese tier-1 suppliers Autolink, Desay SV, Hangseng and ZYT disclosed plans for mass production of integrated solutions based on Ride Flex.

The company is developing its own AI algorithms to speed up deployment of end-to-end autonomous driving. After securing 20 designs based on the Snapdragon Ride platform, it is working with DeepRoute.ai, Momenta, QCraft, WeRide and ZYT. It is also working with ZF and Epec, and shipments of Snapdragon Ride SoCs are nearing 1 million units.

The Snapdragon Cockpit platform had been installed in more than 75 million vehicles worldwide as of June last year. Toyota selected the next-generation Snapdragon Cockpit platform for the new RAV4. To expand 5G across vehicles, the company launched the Qualcomm A10 5G modem-RF. As the first 5G reduced capability modem, it supports low-power, low-cost global LTE and 5G for mission-critical services.

Qualcomm also worked with Hyundai Mobis to introduce a V2X solution designed to improve detection of hazards in non-line-of-sight areas, including vehicles with blocked views and two-wheeled vehicles. The solution provides early warnings and supports soft braking at high speeds and emergency braking at low speeds.

Nakul Duggal, corporate vice president of Qualcomm Technologies and head of automotive, industrial, embedded IoT and robotics, said, "Qualcomm Technologies is leading the industry by enabling automakers to deliver a more intelligent, personalized and safe driving experience through AI and software-defined architecture." He added, "With the overwhelming scale of Snapdragon Digital Chassis and deep collaboration across the global automotive ecosystem, Qualcomm is ready to accelerate innovation and support the industry as it moves toward connected and automated mobility."

Qualcomm also unveiled an IoT product portfolio that includes the Dragonwing Q-7790 and Q-8750 processors. The company completed acquisitions over the past 18 months including Augentix, Arduino, Edge Impulse, FocusAI and Foundries.io. The Dragonwing Q-8750 includes a 77 TOPS AI engine, and the Dragonwing Q-7790 offers 24 TOPS on-device AI performance. The company said the Augentix acquisition secured smart imaging and low-power vision processing chip technology for IP security cameras and smart home devices.

Duggal said, "Qualcomm is not simply unveiling new products, but presenting a comprehensive new approach to help companies of all sizes and across industries benefit from AI and edge computing as they pursue efficiency and new opportunities." He added, "Qualcomm's expanded industrial and embedded IoT portfolio, combined with a strong developer ecosystem, is establishing itself as the ultimate platform to build and scale intelligent, connected business solutions."

It also introduced a next-generation robotics comprehensive stack architecture that integrates hardware, software and compound AI. It unveiled the Dragonwing IQ10 series, a high-performance robotics processor for industrial autonomous mobile robots and full-size humanoids. The Dragonwing industrial processor roadmap is currently powering humanoid robots from global robotics companies including Booster and Binnmotion.

The architecture supports advanced perception and motion planning through end-to-end AI models including VLA and VLM. The company is holding discussions with Kuka Robotics on next-generation robotics solutions. It is building a robotics platform ecosystem with Advantech, APLUX, Autocore, Booster, Figure, Kuka Robotics, RoboteqAI and Binnmotion.

Duggal said, "As a leader in energy-efficient yet high-performance physical AI systems, Qualcomm understands exactly what is needed to implement even the most complex robotic systems at scale while maintaining reliability and safety." He added, "Based on a strong foundation of low-latency, safety-rated, high-performance technology spanning sensing and cognition through planning and execution, we are moving intelligent machines from the lab to real-world environments and redefining what is possible with physical AI."