Ambi Robotics Deploys Vertically-integrated AI Foundation Model for Warehouse Robots
BERKELEY, Calif., Jan. 7, 2025 -- Ambi Robotics, a leader in AI-powered robotic sorting solutions for material handling operations, today announced the launch of PRIME-1, the first Robotic Foundation Model to be deployed in real-world commercial warehouse operations. PRIME-1, which stands for Production-Ready Industrial Manipulation Expert, provides a unified transformer backbone that can be fine-tuned for a variety of robot operations including 3D perception, package picking, and quality control. PRIME-1 significantly increases performance, accelerates product development, and increases reliability and maintainability of AI-powered robotic solutions from Ambi Robotics.
“With PRIME-1, we’re addressing the most pressing challenge in warehouse robotics: the need for adaptable, scalable solutions that evolve with operational demands and amplify return-on-investment,” said Jeff Mahler, Co-Founder and Chief Technology Officer at Ambi Robotics. “PRIME-1 allows our customers to leverage collective learning from our entire production fleet, empowering them to stay ahead in the rapidly evolving logistics landscape with increasing demand. Our customers now have the ability to respond faster to market dynamics and future-proof their operations in an industry where speed and precision are paramount.”
PRIME-1 was pre-trained with self-supervised deep learning on over 20 million high-quality images from individual pick, place, and pack events spanning 150,000 operating hours across the company's fleet of AI-powered robotic sorting systems in US warehouses. The training dataset represents about 1% of the data collected to-date. As a result, PRIME-1's training leverages a reliable depth of real warehouse data from identical systems deployed at scale. The breadth and specificity of data ensures PRIME-1 is optimized for precision and efficiency in real-world logistics operations.
“The scale of training on real-world data collected from the AmbiSort A-Series systems has enabled us to reach high levels of reliability with PRIME-1,” said Vishal Satish, Foundation Model Lead at Ambi Robotics. “The use of PRIME-1 will allow us to rapidly develop and deploy new robotic solutions for a variety of tasks, while also improving the performance of our existing robotic systems.”
PRIME-1, trained on over 1 trillion tokens, has learned generalizable features for 3D reasoning, which can be applied to a range of challenging 3D tasks, including depth estimation and robotic picking. Testing in production has revealed clear scaling laws, showing that both pre-training quality and performance on downstream tasks improve as the amount of data used for pre-training increases. This suggests that pre-training on a large volume of unlabeled data can significantly enhance performance, surpassing the results achievable with labeled data alone. To this end, the company has yet to see performance saturate.
“Emerging AI research shows that generative pretrained models can outperform previous architectures,” said Ken Goldberg, co-Founder and Chief Scientist at Ambi Robotics. “The engineering team at Ambi Robotics used 4 years of proprietary warehouse data to train a state-of-the-art generative model for 3D warehouse operations; their experiments with real production systems confirm that PRIME-1 significantly outperforms their previous systems.”
About Ambi Robotics
Ambi Robotics is an artificial intelligence (AI) and robotics company developing advanced solutions that scale ecommerce operations to meet demand while empowering humans to handle more. The company’s industry-leading AI operating system, AmbiOS, leverages proprietary simulation-to-reality (Sim2Real) technology and the latest AI foundation models to provide reliable high-speed robotic systems. At Ambi Robotics, the world's top roboticists, AI researchers, and leading business professionals work together to build cost-effective high-volume supply chain technologies. Founded in 2018, the company is located in Berkeley, Calif. For more information, please visit www.ambirobotics.com.
Source: Ambi Robotics
