LAS LAS VEGA– Plant pollen Robotics SAS initially debuted and presented the initial version of its open-source Reachy robotic at CES 2020.
Because its launch, the Bordeaux, France-based business has actually offered 100 robotics internationally. At CES 2025, Plant pollen has actually presented Reachy 2, a brand-new generation of its study robotic system.
” At Plant Pollen Robotics, we’re honored to supply the only modular, open-source humanoid robotics option with the ability of conference today’s market demands while preparing for future innovations,” stated Matthieu Lapeyre, Chief Executive Officer of Plant Pollen Robotics. ” With over 100 robotics released throughout 20 nations, consisting of collaborations with the globe’s leading AI labs, we are committed to making Reachy 2 the best system for AI-driven robotics applications.”
Reachy 2 is a teleoperated robotic and got on display screen before the Plant pollen Robotics cubicle at CES 2025.
Plant pollen Robotics promotes Reachy 2 availability
Plant pollen Robotics stated it has actually boosted Reachy 2’s attributes to attend to market demands, making it an effective device for prototyping and implementation. Unlike numerous exclusive systems, the two-armed manipulator is made for flexibility, the business declared.
Reachy 2 is totally open-source, can be teleoperated or managed with Python, and works on ROS2 Foxy. Strategic collaborations, consisting of a partnership with Hugging Face, have actually driven advancements in generative AI for robotics consisting of humanoids.
The solution robotic is offered in 4 setups: a double or a solitary armed mobile manipulator with an independent mobile robotic (AMR) base, or a double or solitary arm with a fixed base. The most up to date variation of Reachy is planned for proving ground, medical care, and retail.
Reachy’s varied consumer base consists of establishments such as Hugging Face, Accenture, CEA, CNRS, Ecole Polytechnique, Cornell College, and Carnegie Mellon College. Plant pollen Robotics stated these cooperations show the system’s flexibility in areas varying from innovative AI study to functional, real-world adjustment jobs.
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