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New language of spatial intelligence needed to break down barriers and accelerate robot adoption using Visual SLAM
ROS has become the de facto standard for many designing and developing robots. But as the commercial deployment of autonomous machines accelerates, a new version of the original code has been created to meet today’s requirements.
ROS Navigation Stack integrated with open source wrapper for SLAMcore algorithms to add visual SLAM to robot designs.
SLAMcore Labs sneak-peek of future VisualSLAM innovation
Our latest SDK version (21.04), released in June 2021, includes a new C++ API, facilitating the easy integration of SLAMcore algorithms directly into customers' proprietary software stacks.
The importance of efficiency for SLAM deployments in production.
We introduced 'Tracking on a Plane' to dramatically increase accuracy and speed of SLAM estimations.
Our latest release introduces 2.5D Mapping - ideal for navigation and obstacle avoidance.
SLAMcore’s visual algorithms enable any robot to self-monitor and identify when situations are becoming ‘too chaotic’.
