Bleu Robotics Raises €5 Million to Scale Humanoid Robot Deployment in Factories
Bleu Robotics raises €5 million to scale humanoid robot deployment in factories
Bleu Robotics, a Paris-based startup, has raised €5 million in a pre-seed round to scale its software solution for industrial humanoid robots. The company aims to reduce the full deployment process to under an hour by using abductive learning, which enables robots to learn new tasks from as few as ten operator demonstrations. This approach eliminates the need for large datasets and long training cycles, allowing for cost-effective and scalable deployment in manufacturing settings.
Bleu Robotics' approach focuses on reducing deployment time for humanoid robots in manufacturing by using abductive learning, which requires fewer demonstrations and less data than traditional methods. This contrasts with the broader trend of training humanoids with large datasets, which is seen as less suitable for the current industrial context.
Source: Robotics & Automation News · Read original article ↗
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es a different approach to close the gap between hardware and software. Its technology removes the need for those large task-specific datasets and long training cycles, allowing manufacturers to deploy robots cost-effectively and at scale. Instead of an end-to-end model, Bleu Robotics’ abductive learning model allows the robot to learn a new task from as few as ten operator demonstrations, while keeping the explainab
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Bleu Robotics raises €5 million to scale humanoid robot deployment in factories
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Bleu Robotics , the Paris, France-based startup building AI models for industrial humanoid robots, has raised a €5 million pre-seed round, co-led by Contrarian Ventures and OVNI Capital, with participation from Kvanted, WEPA Ventures, Motier Ventures and Charlie Songhurst, technology investor and board member at Meta. The company will use the funds to grow its team and scale its software solution across industries in
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pursuit of its goal to reduce the full humanoid robot deployment process to one hour or shorter. According to the International Federation of Robotics, there were 5 million industrial robots operating globally in 2025. However, these robots are built to repeat fixed tasks, and are unable to adapt to the high-mix, low-volume production now common in modern manufacturing, so that work still falls to human workers. Hum
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tation using Bleu’s training devices, handheld grippers that remove the need for coding, and can retrain the same robot as production needs change or move it to another site. Benoît Berkoukchi, co-founder of Bleu Robotics, said: “Humanoid robots in manufacturing are the next automotive sector, with the potential to help Europe and the US reshore production. “But most robotics companies are trying to train humanoids w
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es a different approach to close the gap between hardware and software. Its technology removes the need for those large task-specific datasets and long training cycles, allowing manufacturers to deploy robots cost-effectively and at scale. Instead of an end-to-end model, Bleu Robotics’ abductive learning model allows the robot to learn a new task from as few as ten operator demonstrations, while keeping the explainab
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ility required for industrial safety and the 99%+ accuracy that production lines demand. The model eliminates the need for vast amounts of training data by inferring the most likely intent behind an operator’s demonstration, including the task’s goal and constraints, and determining how to reproduce it reliably. The software can be plugged into any humanoid platform. Operators teach it new tasks directly at the works
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journals, including in Nature, and organized some of the world’s leading humanoid robotics conferences. Bleu is already working with two major industrial companies while building partnerships with robot distributors. With each deployment, the model will benefit from real-world data that makes it more reliable and faster to roll out. The ambition is to become the software of choice for manufacturers to deploy and mana
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Source：Robotics & Automation News · roboticsandautomationnews.com