Qualcomm outlined a pragmatic, task-focused approach centered on 10 priority tasks in logistics, manufacturing, and retail—such as item picking, case stacking, line sequencing, and inventory scanning—to accelerate commercial adoption in high-demand automation sectors.

The company emphasized the same task-based framework, detailing real-world tasks in logistics, manufacturing, and retail to speed deployment.

At the India AI Impact Summit 2026 in New Delhi, Qualcomm unveiled a broad robotics portfolio, including humanoid systems and the Dragonwing IQ-10 processor, signaling a push to deploy physical AI across homes, factories, and large-scale industrial settings.

The robotics architecture is general-purpose and modular, integrating edge computing, multi-level control, software tools, machine learning processes, and continuous AI data feedback so robots can see, hear, and respond to their environment.

The event is designed to translate global AI discussions into actionable development outcomes and to foster broader international cooperation in artificial intelligence.

ANI contributed to the report.

This initiative is part of Qualcomm’s broader strategy to shorten development cycles and accelerate deployment of intelligent machines across sectors, from domestic assistance to industrial logistics.

The stack is designed to support integrated vision, audio, and motion systems and is optimized to scale across different robotic platforms with industrial-grade reliability.