Technology
Danish Kapoor
Danish Kapoor

Qualcomm’s new robotic processors will be used in Neura Robotics robots

The new collaboration announced between Germany-based robotics startup Neura Robotics and semiconductor giant Qualcomm stands out as one of the remarkable developments in the field of “physical artificial intelligence”, where robotic technologies and artificial intelligence intersect. The parties aim to develop the basic IT infrastructure that will be used in the robots of the future. In this context, it is aimed to make humanoid robots and general-purpose robotic systems more widely used both in industrial environments and in daily life.

No specific product has been announced yet within the scope of the partnership. Despite this, it is stated that the companies will jointly develop the calculation and control infrastructure of robots, defined as the “brain and nervous system”. This approach may pave the way for robots to have more advanced perception, decision-making and movement capabilities. On the other hand, it seems that many companies operating in the field of physical artificial intelligence are turning to similar collaborations. This indicates that a tighter ecosystem has formed between robotics startups and large technology companies.

Qualcomm processors will be at the center of Neura robots

Within the framework of the agreement, Neura Robotics plans to use Qualcomm’s Dragonwing Robotics IQ10 processors as a reference design in its robots. The processor series in question was introduced at the CES event earlier in the year. The IQ10 series has an architecture designed especially for advanced robotic systems such as autonomous mobile robots (AMR) and humanoid robots. These processors; It aims to provide an infrastructure suitable for robotic applications in terms of artificial intelligence calculation capacity, energy efficiency and connection features.

In addition, Neura Robotics will also benefit from the robot simulation and training platform called Neuraverse, which was introduced in June 2025. Thanks to this platform, it becomes possible to test and optimize robots in virtual environments before they go out into the real world. Thus, the performance and security of robot systems running on Qualcomm’s processors can be evaluated more comprehensively. In addition, simulation-based development processes can also contribute to robots’ faster adaptation to different usage scenarios.

David Reger, CEO and founder of Neura Robotics, states that the collaboration is an important step in the development of physical artificial intelligence. According to Reger, the combination of Neura’s cognitive robotics platforms and Neuraverse ecosystem with Qualcomm’s expertise in edge AI and connectivity can accelerate the ability of robots to operate safely in the same environments as humans. This approach could pave the way for the expansion of robot use, especially in the manufacturing, logistics and service sectors.

Similar partnerships in the field of robotics seem to have increased recently. For example, the collaboration between Boston Dynamics and Google DeepMind, announced in January, aims to accelerate the development of the Atlas humanoid robot. In this agreement, DeepMind’s core artificial intelligence models are integrated into robot development processes. However, the collaboration between Neura and Qualcomm focuses more on the hardware and processor architecture side.

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Danish Kapoor