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The pinnacle of spatial intelligence – understanding

In the third part of our series exploring the three levels of the full-stack spatial intelligence pyramid we look at semantic understanding, which helps robots understand what's around them.

1 November 2022

See VI-SLAM and Nav 2 stack integration in action

Watch our demo to see how our vision-based localisation and occupancy mapping capabilities can be integrated for autonomous navigation using a single stereo camera.

30 September 2022

How do I get around? How to create real-time maps

In the second part of our series exploring the three levels of the full-stack spatial intelligence pyramid we look at the importance of accurate real-time maps to path planning and obstacle avoidance.

6 September 2022

The importance of doing work that matters

Deputy Head of Research and Development, Tom Woodley, reflects on his career and time at Slamcore, including leading the team working with Meta on its amazing Bombyx robot.

Where am I? Helping robots get their bearings

In the first part of our series exploring the three levels of the full-stack spatial intelligence pyramid we look at how our positioning algorithms allow anyone to add effective capabilities to their devices.

Familiar yet fresh, the approaching future of XR

As the use cases for XR become increasingly sophisticated, the role of spatial intelligence even more critical. So we set out to see firsthand how XR is progressing, and what the future holds.

My role in shaping the future of robots

When she graduated, Cheryn wanted to make a real difference. Here's how she turned her internship into a career that is shaping the future of robots and the metaverse.

How we’re tackling the challenging 10%

Autonomous robots and augmented/virtual reality headsets are proliferating in the marketplace, but why aren't more robots around the home, workplace, or in critical and dangerous locations?

When there’s a gold rush, make picks and shovels

The next few years will see a rapid increase in the number, types and impact of spatially aware machines in our everyday lives. They all share a common requirement: they need accurate, reliable SLAM.

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