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Valkyrie Dynamics

Valkyrie Dynamics develops miniature radar systems designed specifically for robotics applications, enabling machines to detect and map objects beyond the range of conventional sensors.

KyivFounded 20252300+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Robotic systems often rely on optical or lidar sensors that struggle in conditions like dust, fog, low light, or when objects are beyond their effective range, limiting reliable environmental perception and safe operation.

Solution

Valkyrie Dynamics creates miniature radar modules tailored for integration into robots and autonomous platforms. These compact radars emit radio waves that can penetrate obscurants and detect objects at greater distances than many conventional sensors. The units deliver high‑resolution range and velocity data, enabling real‑time mapping of the surrounding environment even in challenging visibility. By providing a lightweight, low‑power solution, the radar can be embedded directly into existing robotic hardware without significant redesign, extending operational capability across diverse settings.

Target Audience

Primary customers are manufacturers of autonomous drones, mobile robots, and industrial automation systems that require reliable perception in adverse environmental conditions.

Features

  • Small form‑factor radar hardware designed for easy mounting on drones, ground robots, and manipulators
  • High‑resolution 3‑D point cloud generation with precise distance and velocity measurements
  • Robust performance in dust, fog, smoke, and low‑light conditions where optical sensors fail
  • Low power consumption suitable for battery‑operated platforms
  • Integrated signal processing firmware that outputs standardized data streams for common robotics middleware
  • Compatibility with ROS and other robotic software stacks for seamless sensor fusion
This profile is AI-generated and may contain inaccuracies.