>> Research & pre-development

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>> Funded projects

We are voraus.

01 SMARt · In progress

Schnelles Metallauftragschweißen mit mobilem Industrieroboter durch Onboard-Sensorfusion und Online-Bahnkorrektur

Fast metal deposition welding with a mobile industrial robot, by onboard sensor fusion and online path correction

Repairing large forming tools where they stand, welding while the robot drives.

Where it is headed

voraus.core drives a large mobile robot as one coordinated 9-DoF system: robot and platform in real-time sync, with sensor fusion and integrated motion planning.

A welding robot on a mobile platform, with wire feeder and gas bottle on board
Funded by

NBank · Land Niedersachsen, co-funded by the EU

3-87055254

Funding period

10/2025 – 06/2028

Partners
  • imes, Leibniz University Hannover
  • Picum MT GmbH
imes, Leibniz University Hannover Picum MT
Co-funded by the European Union, Europe for Lower Saxony
02 ALIGMO · In progress

Plattformübergreifendes Aktives Lernen für Roboter- und KI-gestützte Detektion und Handling von unbekannten Objekten

Cross-platform active learning for robot- and AI-based detection and handling of unknown objects

Grasping parts nobody trained for: learned in simulation, adapted on live data.

What it established

An AI service from a partner is integrated through open interfaces: today the AI-Pick API on voraus.core.

Three robot cells: a cobot over bins of mixed parts, a SCARA over a tray, a six-axis robot in a cell
Funded by

ZIM · BMWE, AiF

KK5640702GR4

Funding period

until 12/2026

Partners
  • IFL, Karlsruhe Institute of Technology
IFL, Karlsruhe Institute of Technology
ZIM · BMWE
03 IRPro · Completed

Integration der Risikobeurteilung in die Roboterprogrammierung

Integrating risk assessment into robot programming

Hazard models and the digital twin assess a robot program while it is written.

What it established

A time-based data pipeline enables a software component to analyze, evaluate, and optimize the robot application.

How the risk assessment agent, the data collector and voraus.core work together
Funded by

DATIpilot · BMFTR, DATI

03DPS1133B

Funding period

until 02/2026

Partners
  • Fraunhofer IFF
Fraunhofer IFF
DATIpilot · BMFTR
04 SAHRA · Completed

Entwicklung und Integration eines KI-basierten Sensorsystems zur anonymisierten Mensch-Roboter Kollaboration

Development and integration of an AI-based sensor system for anonymized human-robot collaboration

Body pose from depth images, without a recognizable picture of anyone.

What it established

A cell people and robots share can be measured instead of estimated, and the metrics run in voraus.pioneer.

A robot cell as a point cloud, with a person reduced to a body pose
Funded by

ZIM · BMWE, AiF

KK5640701LF3

Funding period

until 04/2026

Partners
  • Offenburg University of Applied Sciences
Offenburg University of Applied Sciences
ZIM · BMWE
05 RoboXR · Completed

Extended Reality Machine Tending for Industrial Learning

Machine tending trained in extended reality, on the software that runs the real cell.

What it established

A cell that exists only in software can be driven like a real one, through the same interfaces of voraus.core.

The XR training stack: MASTER scenarios on voraus.pioneer and voraus.core, driving real or simulated devices
Funded by

EU · Horizon Europe, open call of the MASTER project

101093079

Funding period

until 06/2026

Partners
  • ECECT, Cyprus
ECECT, European Centre for Emerging Competencies and Technologies
Co-funded by the European UnionMASTER
06 EVO-MTI · As a partner

Entwicklung einer robotergestützten Entwicklungs- und Validierungsumgebung für körpergetragene Unterstützungssysteme am Beispiel von Exoskeletten

A robot-based development and validation environment for body-worn support systems, exoskeletons as the example

A robot emulates the forces of an exoskeleton, so support systems can be tested against a real load.

What it established

voraus.core keeps several collaborative robots in sync to emulate reaction forces, by sensitive force control and visual tracking, and ROS 2 research models plug in through open interfaces.

Robots holding a person by the arms, playing the forces of an exoskeleton
Funded by

dtec.bw

Funding period

until 11/2026

Partners
  • LaFT, Helmut Schmidt University Hamburg
Helmut Schmidt University Hamburg LaFT
dtec.bwFunded by the European Union, NextGenerationEU
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