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InOrbit.AI introduced InOrbit RobOps Copilot, which harnesses the power of artificial intelligence (AI) to turn robot operations data into actionable insights to optimize autonomous robot fleets.
“While there’s a lot of hype about AI and robotics, we’re actually putting the latest developments in machine learning and LLMs to work for real people optimizing real robots,” says Florian Pestoni, co-founder and CEO of InOrbit. “InOrbit RobOps Copilot gives the operations team in warehouses, manufacturing plants or hospitals the power to understand and refine the behavior of their robots, making sense of vast amounts of data without needing a Ph.D. in robotics.”
Key takeaways:
- RobOps Copilot makes actionable insights available to anyone regardless of technical expertise. Leveraging the latest large language models (LLMs), RobOps Copilot enables users to ask questions in their preferred language, get detailed explanations, refine their analysis, and arrive at key optimization decisions.
- InOrbit continues to expand the InOrbit Connect ecosystem, including the ability to define, execute, and analyze missions that support integrations with warehouse management systems, automated mobile robots (AMRs) from different vendors, and goods-to-person workflows.
