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SLAMcore Launches Enhanced SLAM Software with ROS Integration, Wheel Odometry, and Advanced Customization

SLAMcore has released a new version of its spatial‑intelligence suite that now supports ROS integration, wheel odometry, and extensive environmental customization. The update is aimed at developers building autonomous robots and consumer devices that rely on accurate, real‑time localization and mapping.

Leveraging stereo cameras, inertial measurement units (IMUs) and depth sensors, SLAMcore’s visual‑inertial SLAM engine delivers high‑precision position data on commodity processors. This gives teams a powerful, cost‑effective alternative to building custom SLAM solutions from scratch.

Founded in 2016 as a spin‑off from Imperial College, SLAMcore focuses on delivering robust SLAM software that runs on low‑power hardware, helping developers cut months of development time and reduce R&D spend.

The new release adds three key capabilities:

SLAMcore’s solution works “out‑of‑the‑box” with Intel RealSense cameras and runs efficiently on x86 PCs or NVIDIA Jetson modules, providing rapid prototyping capability. The engine can be further optimized for bespoke hardware or additional sensor suites to meet specific product requirements.

“Our mission is to make high‑performance SLAM accessible to every developer,” says Owen Nicholson, founder and CEO. “By deepening our ROS partnership, adding wheel odometry, and enabling fine‑grained environmental tuning, we empower teams to integrate reliable navigation into robots and consumer electronics faster and cheaper.”

The update is available immediately. SLAMcore offers flexible licensing, including low‑cost per‑device monthly subscriptions and full commercial use agreements for both development and production.

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