A quiet but significant shift in Qualcomm’s India strategy came into focus as the company stepped into the country’s robotics spotlight with a major technology showcase.
Qualcomm on February 16 presented its complete robotics technology stack at the India AI Impact Summit in New Delhi. This marked the platform’s India debut after its first global presentation at the Consumer Electronics Show in January.
The company showcased an end-to-end robotics stack covering hardware, software, and artificial intelligence. Qualcomm said the platform is built to speed up the deployment of physical AI systems. It is designed for use across household robots, industrial autonomous mobile robots (AMRs), and full-size humanoid robots.
At the event, Qualcomm unveiled its first dedicated robotics processor, the Dragonwing IQ-10. The processor is aimed at full-size humanoids and advanced AMRs. According to the company, it delivers energy-efficient performance while handling complex robotics workloads. Qualcomm said the processor serves as the base of its wider robotics architecture, allowing scalable performance across different robot form factors.
During a live humanoid robot demonstration, Qualcomm explained its general-purpose robotics architecture. The system combines heterogeneous edge computing, mixed-criticality systems, software frameworks, machine learning operations, and what it described as an AI data flywheel. The company said the modular design enables robots to adjust to varied environments and perform real-world tasks using integrated vision, audio, and motion features. It added that the stack has been optimised for scale while maintaining industrial-grade reliability.
Qualcomm said it is taking a task-focused approach to robotics. The company is concentrating on 10 priority real-world tasks across logistics, manufacturing, and retail. These include item picking, case stacking, line sequencing, and inventory scanning. It said this focus will help speed up commercial deployment in sectors with rising automation needs.
The company also said its robotics strategy builds on experience gained from multi-criticality AI systems developed for Advanced Driver Assistance Systems.
“Our stack is built on what we’ve already accomplished with our ADAS team and now we’re going to continue building on it and continue training our models on a loop so that they’re constantly learning and evolving,” the company said.
Qualcomm added that its humanoid systems are deployment-ready, backed by a partner ecosystem and developer tools to accelerate industry adoption.
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