Germany-based robotics company, NEURA Robotics and Qualcomm have entered a long-term partnership to develop platforms for physical AI and robotics.
The collaboration will combine Qualcomm’s robotics processors with NEURA’s robotics systems and software to accelerate the development and deployment of humanoid and general-purpose robots.
The companies said the effort will build ‘Brain + Nervous System’ reference architectures that combine high-level cognition, such as perception, reasoning and planning, with real-time control systems used in robots.
Qualcomm’s Dragonwing IQ10 Series robotics processors and software stack will be integrated with NEURA’s hardware platforms and embodied AI software.
The goal is to enable robots to operate alongside humans in industrial, service, household, and other environments, the companies said.
NEURA’s cloud platform, called Neuraverse, is expected to be used for simulation, training and lifecycle management of AI systems running on robots powered by Qualcomm processors. The companies said the platform connects robots in a shared network, allowing improvements developed on one system to be deployed across fleets.
“This collaboration marks a major step toward making physical AI real: open, scalable, and trusted,” said David Reger, CEO and founder of NEURA Robotics. “By bringing together our cognitive robotics platforms and the Neuraverse ecosystem with Qualcomm Technologies’ leadership in edge AI and connectivity, we’re aiming to accelerate a future where cognitive robots operate safely alongside humans across industries and throughout everyday life.”
Founded in 2019 by Reger, the company develops both robotic hardware and the software stack that powers perception, reasoning and motion in machines.
The partnership will also align Qualcomm’s edge computing and AI infrastructure with NEURA’s robotics platforms to support deployment across different robot types, including robotic arms, mobile robots, service robots and humanoid systems. The companies said they plan to create a standardised runtime and deployment interface to manage how AI workloads are deployed, updated and validated on robotic systems.
“Robotics represents one of the most demanding edge AI use cases, where decisions must happen instantly, reliably, and locally, without relying solely on the cloud for safety-critical responses,” said Nakul Duggal, Executive Vice President and Group General Manager of Automotive, Industrial and Embedded IoT and Robotics at Qualcomm Technologies.
Qualcomm is also expanding its hardware ecosystem for robotics developers. The company recently introduced the Arduino Ventuno Q, a single-board computer designed for AI, robotics and industrial edge systems.
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