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Project cooperationUpdated on 19 September 2026

Physical AI: robot-learning data pipelines — pilot & R&D partners

CEO at Orange Hill Development d.o.o.

Belgrade, Serbia

About

Robots now learn from data, not hand-written code — and the bottleneck is high-quality data about how humans actually do physical work. Orange Hill (Vienna/Belgrade) is building the software layer between real-world work and robot training.

What we do:

- Capture: egocentric and wrist-camera recording protocols for real work environments (offices, facilities, light industry), with consent and GDPR-compliant anonymisation.

- Processing: 3D hand and body pose, camera trajectory, segmentation, sub-task and language labels, success/failure outcome labels.

- Delivery: training-ready datasets in LeRobot / RLDS formats for the NVIDIA Isaac / GR00T and open robot-learning ecosystems.

- Evaluation: measuring whether robot policies actually improve in real environments.

We are looking for:

- Industrial companies and facility operators willing to host a small pilot (a few operators, one site, 4–8 weeks).

- Robotics and embodied-AI teams that need task-specific human demonstration data or evaluation.

- Research partners for FFG, Eurostars or Horizon Europe project consortia.

Happy to meet at AAIC or talk online on 25 September.

Stage

  • Concept

Topic

  • Machine Learning
  • Deep Learning Platforms
  • Digital Twin/AI Modeling
  • Image Recognition

Type

  • Research
  • Technical
  • Financing

Organisation

Orange Hill Development d.o.o.

Company (AI Solutions Provider)

Belgrade, Serbia

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