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A white humanoid robot with yellow hands and feet holding binoculars to its face, a pale cone spreading from them across an isometric line drawing of a warehouse, under three labelled sensor icons and beside an inset map panel.

Pick & Place

Perception & Localisation

Perception and localisation for humanoid and mobile platforms: recognise the part, know where the robot is, and keep both stable in a live environment.

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Tell us what the robot needs to do. You get a configuration, a price and a delivery date.

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What this includes

  • Part recognition tuned to your actual parts, including the shiny, the dark and the nearly identical.
  • Pose estimation with a stated tolerance, not a best case from a lab bench.
  • Localisation that holds while people, pallets and forklifts move through the space.
  • Defined failure behaviour: what the robot reports when it is not confident, and what it does next.

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ROS-based navigation for humanoid and legged platforms, path planning, obstacle handling and recovery behaviour tuned to your floor, not a demo hall.

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