InOrbit RobOps Copilot applies LLMs to mobile robot fleet optimization

InOrbit RobOps.
The RobOps Copilot uses LLMs to allow users to ask questions about data in their preferred languages. | Source: InOrbit

InOrbit Inc. today announced that it plans to introduce InOrbit RobOps Copilot at Automate 2024 next week. The company said this new product harnesses artificial intelligence to turn robot operations data into actionable insights for fleet optimization. 

As robotics adoption rapidly accelerates and enters new industries, end users are grappling with the complexity of running hundreds of autonomous mobile robots (AMRs) across multiple locations, collectively gathering vast amounts of data, said InOrbit. 

The Mountain View, Calif.-based provider of robot operations (RobOps) systems said that Copilot will provide actionable insights to anyone, regardless of technical expertise. It also allows users to transition between their favorite messaging platforms for casual queries and a fully integrated experience with chat-driven dashboard explorations. 

inOrbit said RobOps Copilot uses the latest large language models (LLMs) to enable users to ask questions in their preferred languages, get detailed explanations, refine their analyses, and arrive at key optimization decisions. 

“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,” stated Florian Pestoni, co-founder and CEO of 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.”

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Early end users praise RobOps Copilot

As with the rest of the InOrbit platform, RobOps Copilot works with mixed, distributed AMR fleets. Kärcher, a global leader in high-performance autonomous cleaning robots, has had early access to this technology. 

“InOrbit RobOps Copilot is the latest innovation for optimizing robot operations,” said Felipe Garcia Lopez, manager of robotic systems  and software at Kärcher. “The interface is super-intuitive, allowing our team to easily find the data insights needed to optimize our robots and drive value for our customers.” 

InOrbit said it is continuing to expand the InOrbit Connect ecosystem. This includes adding the ability to define, execute, and analyze missions that support integrations with warehouse management systems (WMS), AMRs from different vendors, and goods-to-person (G2P) workflows. 

One recent addition is support for a new automated storage and retrieval system (ASRS) developed by Instock. The ASRS is now in use at the InOrbit Robot Space in Silicon Valley and will be part of InOrbit’s live demonstrations at Automate.

InOrbit joins OSRA to foster collaboration

InOrbit last month joined the Open Source Robotics Alliance, or OSRA. The Mountain View, Calif.-based company said it is a milestone in its commitment to fostering collaboration and innovation within the robotics community.

The OSRF recently launched OSRA as an alliance of companies aimed at strengthening the governance of open-source robotics software projects. The OSRA said it has a mixed-membership, meritocratic model inspired by organizations such as the Linux Foundation.

As a silver member of the OSRA, InOrbit said it expects to contribute to shaping the future of robotics and to exploring opportunities for advancing RobOps with the alliance.

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Automated Warehouse staff