Spatial intelligence that helps robots work, at work

Slamcore helps robots navigate dynamic industrial environments safely and efficiently

The market context

Reap the rewards of smarter robots

Autonomous robots have the potential to deliver significant value across industry. But we’re not quite there yet.

When robots operate on specified routes or frameworks in places like warehouses, they can be inflexible, unable to respond to changes in real-time. 

The industry is ready for robots that can do more.

We’ve spent years developing spatial intelligence that helps robots navigate dynamic industrial environments safely and efficiently, so you can increase efficiency, improve safety, and scale faster.

How Slamcore makes it happen


Where am I?

Robust, computationally efficient, ROS and C++ compatible localization, for high performance even on low-cost hardware.

  • Accurate positioning, indoors and outdoors even in the largest warehouse – right down to centimeters. 
  • Shared coordinate system across your entire fleet that stays accurate every day, even when the layout or lighting changes. 
  • Ground plane detection means positions are always grounded in reality. 


What’s around me?

Because maps are produced in real-time in a computationally efficient manner, memory used is managed and stays bounded even as larger environments are mapped.

  • Choose from 2D, 2.5D and 3D representations of occupied and unoccupied space. 
  • Define the resolution of your maps to balance detail with memory requirements. 
  • Advanced obstacle detection – even at height. 


What are the objects around me?

Slamcore uses deep learning to help robots, consumer products and drones identify objects and people around them. 

  • Dynamic object detection improves overall performance, even when the world gets chaotic.
  • Easily remove or ignore specific objects from the user map to cut down on the digital clutter.
  • Object level positioning and mapping means you always know what and where things are around you.

Check the specs

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