FORMOVE GmbH

Summary

About

About FORMOVE GmbH

FORMOVE records human movement and object interaction through a sensor-equipped wearable capture system. Its pipeline combines motion, pose and interaction data from people performing physical work in real environments, then synchronises, labels and structures the sessions. This allows robotics developers to collect examples beyond a laboratory and preserve the sequence of actions that produced a completed task.

An AI-based Human2Robot retargeting layer converts human demonstrations into trajectories compatible with a selected robot embodiment. The resulting dataset can be used for imitation learning, policy training or evaluation without requiring every example to be teleoperated directly on the final machine. FORMOVE combines centralised capture with distributed collection strategies, giving customers a route to expand training data across operators, objects and environments while retaining a robot-specific action representation.

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Team

  • Julian Ilg - Co-founder and Managing Director
  • Konstantin Ryan - Co-founder and Managing Director
  • Alex Oldemeier - Co-founder and Managing Director

Timeline

Events

Context

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Context tags

  • Physical AI data infrastructure - Stack Layer - FORMOVE positions itself as a real-world data pipeline for Physical AI.
  • Physical AI training data - Stack Layer - FORMOVE captures and transforms human motion and interaction into training data for robots.
  • Teleoperation and data collection - Workflow - FORMOVE is adjacent to human demonstration data capture, though its site emphasizes motion and interaction data rather than remote operation.