Opentrons Integrates NVIDIA AI Platforms to Advance Laboratory Robotics
Opentrons Labworks is collaborating with NVIDIA to accelerate the development of AI-enabled laboratory robotics, announced in a press release. The integration combines NVIDIA’s Isaac and Cosmos platforms with Opentrons’ network of over 10,000 deployed lab robots to create AI systems that can learn from real-world biological experiments.
The partnership bridges simulation and real laboratory operations by using Opentrons’ standardized robotic systems to generate training data for physical AI models in laboratory environments. NVIDIA’s BioNeMo platform supports the training and deployment of AI models for biological discovery, while Opentrons provides the physical execution layer that connects digital design with experimental validation.
The companies plan to present their collaboration at the SLAS International Conference and Exhibition in Boston in February 2026. The joint session, titled “Opentrons × NVIDIA: Extending Lab Automation into the Era of Physical AI,” will focus on how AI-driven planning and robotic execution can enable autonomous experimentation and continuous learning in scientific research.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Robotics Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Robotics
More from: Enterprise
Subscribe to Robotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Market report
2025 Generative AI in Professional Services Report
This report by Thomson Reuters explores the integration and impact of generative AI technologies, such as ChatGPT and Microsoft Copilot, within the professional services sector. It highlights the growing adoption of GenAI tools across industries like legal, tax, accounting, and government, and discusses the challenges and opportunities these technologies present. The report also examines professionals' perceptions of GenAI and the need for strategic integration to maximize its value.
Read more