German robotics startup Neura Robotics has announced a collaboration with semiconductor giant Qualcomm to develop the future of robots and physical AI. This agreement represents the latest synergy within the nascent physical AI sector, pairing robotics innovators with prominent technology hardware and software firms.
Although no specific products were unveiled in Monday’s announcements, the companies intend to jointly develop the “brain and nervous system” for robots. Their goal is to accelerate the widespread adoption of humanoid and general-purpose robots in practical environments, spanning both domestic and industrial applications.
Specifically, Neura plans to integrate Qualcomm’s Dragonwing Robotics IQ10 processors as foundational designs into its robotic systems. The IQ10 series, introduced at CES earlier this year, is engineered to support autonomous mobile robots (AMRs) and humanoid platforms.
Furthermore, Neura will leverage its Neuraverse robotic simulation and training platform, launched in June 2025, to rigorously test and refine robots powered by Qualcomm’s IQ10 processors.
“This collaboration signifies a crucial stride towards realizing physical AI: open, scalable, and trustworthy,” stated David Reger, CEO and founder of Neura Robotics, in a press release. “By combining our cognitive robotics platforms and the Neuraverse ecosystem with Qualcomm Technologies’ leadership in edge AI and connectivity, we aim to hasten a future where cognitive robots can safely operate alongside humans across various industries and in daily life.”
This partnership offers significant advantages for both parties and is likely to become a favored approach for robotics companies striving to deploy their products in real-world scenarios. For example, Boston Dynamics announced a strategic alliance with Google DeepMind in January, aiming to accelerate the development of its Atlas humanoid robot through the integration of Google’s foundational AI models.
While the partnerships involving Boston Dynamics and Neura address different technologies—AI models versus chips, respectively—the underlying principle remains consistent. Rather than simply being customers of tech vendors, these collaborations enable robotics companies to more effectively utilize and embed these advanced technologies.
A robotics company with strong software expertise can achieve market entry and scale more easily, and probably more affordably, by partnering with hardware companies that have already resolved complex technical challenges, such as developing dexterous robotic hands.
In Neura’s case, the company gains the ability to build and test robots optimized for the specific chips they operate on, while Qualcomm receives direct insights into how robotics firms are implementing its processors.
As more AI companies, like Nvidia, begin to view physical AI as the next major market for their technology, they will seek involvement in how their innovations are applied. Consequently, a rise in such partnerships is anticipated.