CORE Labs

Labs for Cognitive Robotics in Europe

Shared research infrastructure, joint projects, and a cross-national team advancing cognitive autonomous systems.

Explore the labs

The Initiative

One lab across three cities

CORE Labs runs shared laboratories in Goslar, Cluj-Napoca, and Rostock as a single facility. A joint compute cluster, common datasets, and a co-supervised student project programme let teams collaborate across borders.

This shared infrastructure turns three institutions into one coherent scientific platform for cognitive systems research.

David Szilagyi

Operations & contact

David Szilagyi · PhD candidate

Research & Operations Coordinatoremail

Cognitive Robotics

DyNAMO
Cognitive roboticsDynamic manipulationOperational intelligence

DyNAMO

Our research advances Cognitive Robotics by bridging perception, reasoning, and action. At the core is Dynamo, a comprehensive framework for dynamic manipulation and operational intelligence.

Dynamo is a cognitive robotic system built to adapt to unstructured environments and learn through interaction. By integrating foundation models with rigorous control theory, it achieves versatile, robust behavior in real-world settings.

Vial Sort
VLA policyLeRobotJetson inference

Vial Sort

Language-conditioned vial sorting on a low-cost SO-101 arm, driven by a pi0.5 vision-language-action policy fine-tuned from 150 teleoperated demonstrations with its vision and language backbones frozen.

A hierarchical pick-and-place pipeline built with LeRobot: a planner grounds which vial goes where and emits a source-to-destination command, then the flow policy executes the spatial move from three RGB views, inferring on the Jetson beside the arm. Evaluation across autonomous rollouts localizes the limit at grasping rather than at language or targeting.

Leader Following
RidgebackPerson trackingSensor fusion3D perception

Leader Following

Leader following on a Ridgeback mobile base: camera-based detection singles out a chosen person by appearance, while fused point-cloud perception tracks the leader and visualizes the intended follow path in RViz.

The Ridgeback picks one designated person out of a multi-person scene, then fuses camera detection with point-cloud perception to follow them through clutter. Two iterations compare 2D and full 3D sensing for environment understanding.

Coming Soon

Project Unknown

A new initiative building upon Video Joint Embedding Predictive Architectures.

Autonomous Driving

Our autonomous driving research combines cutting-edge algorithms with practical implementation, resulting in robust solutions for real-world scenarios.

Simulation

Traffic Network Builder

Interactive tools for constructing and simulating complex traffic networks to rigorously test autonomous systems.

Evaluation

Benchmarking Framework

A comprehensive benchmarking suite for evaluating autonomous driving algorithms across various metrics and scenarios.

Motion Planning

Real-Time Corridor Planning

Advanced corridor planning using cubic spirals for smooth, kinematically feasible trajectory generation in real-time.

Field Test

Real-World 1:10 Scale Autonomous Driving

Testing real-world 1:10 scale autonomous driving capabilities, showcasing reliable navigation and control.

CORE Labs

Research publications

A rotating preview of recent publications connected to CORE Labs. Open the archive for the full publication list across the CORE Network.

View all publications
Conference2026Accepted

Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms

Zenkner Janis, Sesterhenn Tobias, Bartelt Christian

ECML PKDD 2026Paper