{"id":578111,"date":"2024-03-08T10:56:52","date_gmt":"2024-03-08T15:56:52","guid":{"rendered":"https:\/\/www.therobotreport.com\/?p=578111"},"modified":"2024-03-08T10:56:52","modified_gmt":"2024-03-08T15:56:52","slug":"rios-intelligent-machines-raises-series-b-funding-starts-rolls-out-mission-control","status":"publish","type":"post","link":"https:\/\/www.therobotreport.com\/rios-intelligent-machines-raises-series-b-funding-starts-rolls-out-mission-control\/","title":{"rendered":"RIOS Intelligent Machines raises Series B funding, starts rolling out Mission Control"},"content":{"rendered":"
\"RIOS

RIOS works with NVIDIA Isaac Sim and serves the wood-products industry. Source: RIOS Intelligent Machines<\/p><\/div>\n

RIOS Intelligent Machines Inc. this week announced that it has raised $13 million in Series B funding, co-led by Yamaha Motor Corp. and IAG Capital Partners. The company said it plans to use the investment to develop and offer artificial intelligence and vision-driven robotics, starting with a product for the lumber and plywood-handling sector.<\/p>\n

Menlo Park, Calif.-based RIOS said its systems can enhance production efficiency and control. The company<\/a> focuses on three industrial segments: wood products, beverage distribution, and packaged food products.<\/p>\n

RIOS works with<\/a> NVIDIA Omniverse on factory simulations. It has also launched its Mission Control Center, which uses machine vision and AI to help manufacturers improve quality and efficiency.<\/p>\n

RIOS offers visibility to manufacturers<\/h2>\n

“Customers in manufacturing want a better way to introspect their production — ‘Why did this part of the line go down?'” said Clinton Smith<\/a>, co-founder and CEO of RIOS. “But incumbent tools have not been getting glowing reviews. Our standoff vision system eliminates a lot of that because our vision and AI are more robust.”<\/p>\n

The mission-control product started as an internal tool and is now being rolled out to select customers, Smith told\u00a0The Robot Report<\/em><\/a>. “We’ve observed that customers want fine-grained control of processes, but there are a lot of inefficiencies, even at larger factories in the U.S.”<\/p>\n

Manufacturers that already work with tight tolerances, such as in aerospace or electronics, already have well-defined processes, he noted. But companies with high SKU turnover volumes, such as with seasonal variations, often find it difficult to rely on a third party’s AI, added Smith.<\/p>\n

“Mission Control is a centralized platform that provides a visual way to visualize processes and to start to interact with our robotics,” he explained. ‘We want operators to identify what to work on and what metrics to count for throughput and ROI [return on investment], but if there’s an error on the data side, it can be a pain to go back to the database.”<\/p>\n

Smith shared the example of a bottlecap tracker. In typical machine learning, this requires a lot of data to be annotated before training models and then looking at the results.<\/p>\n

With RIOS Mission Control, operators can monitor a process and select a counting zone. They can simply draw a box around a feature to be annotated, and the system will automatically detect and draw comparisons, he said.<\/p>\n

“You place a system over the conveyor, pick an item, and you’re done,” said Smith. “It’s not just counting objects. For example, our wood products customers want to know where there are knots in boards to cut around. It could also be used in kitting applications.”<\/p>\n

RIOS is releasing the feature in phases and is working on object manipulation. Smith said the company is also integrating the new feature with its tooling. In addition, RIOS is in discussions with customers, which can use its own or their existing cameras for Mission Control.<\/p>\n