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Hugging Face bets on open source to solve robotics' transparency problem

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Hugging Face

Key Points

  • Hugging Face acquires French robotics startup Pollen Robotics to create an open platform for robotics with the Reachy 2 humanoid robot, similar to open source AI models.
  • With open blueprints, parts lists, and 3D models, developers will be able to make their own improvements or replace broken parts, speeding up access and development.
  • CEO Clément Delangue and Pollen co-founder Matthieu Lapeyre see openness as a way to counter unrealistic expectations in an industry often characterized by idealized robot demos.

Hugging Face aims to make robotics more accessible through transparency and community-driven development.

Hugging Face, the open-source AI platform, has acquired French robotics startup Pollen Robotics. The deal includes Pollen’s humanoid robot Reachy 2, which the company plans to further develop as an open-source hardware and software platform. The initiative is intended to make robotics more accessible to developers, following the open model used widely in AI research.

According to CEO Clément Delangue, transparency is especially critical when dealing with physical systems. They see open-source frameworks—featuring publicly available code and hardware documentation—as a way to build trust and foster collaboration.

Reachy 2 is already being used by several AI companies in research settings. The robot is capable of performing basic tasks, such as picking up objects or clearing cups. Hugging Face plans to release detailed schematics, parts lists, and 3D models to enable developers to repair components or make their own modifications. The company expects this approach to accelerate innovation by lowering technical barriers.

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Positioning open source as a response to industry challenges

Pollen CEO Matthieu Lapeyre views the acquisition as an opportunity to make robotics more practical and accessible. The market for humanoid robots remains difficult, with systems often prone to failure and many applications still undefined. The field is currently dominated by large, well-funded companies such as Tesla, Figure, and Agility Robotics. Hugging Face’s strategy is to offer a transparent, community-driven alternative.

The company also sees the open-source model as a counterbalance to inflated expectations in the robotics sector. Public videos of humanoid robots often depict highly capable machines, but many of these are staged under ideal conditions or remotely operated. Open access to hardware and software could ground the field in more realistic assessments of current capabilities, Delangue said.

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