Object Transportation Lab
Experiment with robotic arms for object manipulation in dynamic settings.
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Knowledge Graph Lab
Develop and test algorithms for navigation in challenging environments.
Action Cores
Study interactions between humans and robots in shared tasks.
openEASE Knowledge Service Laboratory
openEASE is a cutting-edge, web-based knowledge service that leverages the KnowRob robot knowledge representation and reasoning system to offer a machine-understandable and processable platform for sharing knowledge and reasoning capabilities.
Retail Robotics Lab
Optimize robotic workflows in simulated industrial environments.
Meal Preparation Laboratory
Enable robots to autonomously prepare meals by bridging natural language recipe instructions and robotic action execution.
Interactive Task Learning Laboratory
Empower robots with the ability to understand the ‘what’ and ‘how’ of task demonstrations.
ROS Programming for Virtual Robot
Immersive and practical approach to learning the intricacies of programming robots using ROS
Visual Programming for Robots
Learn Robot Programming through Visual Interface.
PyCRAM Laboratory
The PyCRAM Laboratory focuses on leveraging the capabilities of PyCRAM, a Python 3 re-implementation of the original CRAM framework designed to serve as a comprehensive toolbox for the creation, implementation, and deployment of AI-driven and cognition-enabled control software on autonomous robots.
RoboKudo Perception Executive Laboratory
Our Perception Executive Laboratory is centered around RoboKudo, a cutting-edge cognitive perception framework designed specifically for robotic manipulation tasks.
GISKARD Motion Executive Laboratory
In the Motion Executive Laboratory, our primary focus is on exploring and enhancing Giskard, a cutting-edge open-source framework dedicated to motion planning and control.
The Body Motion Problem
The Body Motion Problem (BMP) is a fundamental challenge in robotics, addressing how robots can compute goal-directed, context-sensitive motions to achieve desired outcomes while adapting to real-world constraints.
Knowledge-Based Servoing
This virtual research lab explores reactive motion generation through reasoning. We propose image schema-based reasoning for decision-making within motion controllers.
The TraceBot Laboratory
The TraceBot Lab offers a pioneering platform for conducting research with robotic systems uniquely designed to have a profound understanding of their actions and perceptions, specifically targeting the automation of the membrane-based sterility testing process.
Systematic Review on Metacognitive Tracing
The Metacognition Lab is an interactive online platform designed as a companion to our systematic review of Computational Metacognitive Architectures (CMAs).
Enhanced Task Learning Using Actionable Knowledge Graphs Laboratory
In this virtual research lab, we aim to empower robots with the ability to understand the ‘what’ and ‘how’ of task demonstrations.
The Assisted Living Laboratory with Ontologies Demo
The Bremen Ambient Assisted Living Laboratory (BAALL) ontology is a repository of knowledge useful for agents providing assisted living
Video-Enhanced Human Activity Understanding
This project integrates advanced machine learning techniques with Unreal Engine’s MetaHuman avatars, providing a sophisticated platform for robotic agents to acquire knowledge of everyday activities and object manipulation.
SOMA-Lab
Soma Laboratory
The Dual-Arm Action Selection Laboratory
In the Dual Arm Manipulation & Decision Laboratory, you can observe the capabilities of a dual-arm robot performing table setting tasks under uncertainty.
MUHAI Kitchen Affordances Simulator
The MUHAI Kitchen Affordances Simulator was developed as part of a larger effort by the MUHAI project to benchmark natural language understanding software by parsing recipes into executable robot actions.
Semantic Event and Object Segmentation
Human beings are able to partition the world in flexible ways such that handling a task at hand is made easier.
NEEM Laboratory
Narrative Enabled Episodic Memories (NEEMs) are structured recordings of actions performed by either a robot or a human operator, captured in real-world, simulated, or virtual reality environments.
The FAME Laboratory
The FAME (Future Action Modelling Engine) Lab stands at the cutting edge of robotics research, operating as a virtual research laboratory under the auspices of the ERC project bearing the same name.
URoboSim Artificial World Laboratory
URoboSim is an Unreal Engine 4/5 plugin that allows importing robots to Unreal Engine using the URDF/SDF format and control them using various ROS interfaces.
Simulation-Driven Robotic Knowledge Graph Laboratory
In this virtual research lab, we investigate how robots can reason about complex, real-world environments using knowledge graphs in KnowRob.
PyCRORM
Object Relational Mapping in PyCram
EASE Fall School Tutorial
Our hands-on labs provide experience in cognition-enabled robotics.
Faster Simulation With Uncertainty
In robotics, uncertainty often arises from noisy sensors, imperfect models, or unknown material properties, and addressing this through prospection is crucial for ensuring reliability and safety.
Talk 2 Your Knowledge Base Laboratory
The Talk2YourKnowledgeBase system from the fortiss research institute research institute takes natural language input from the user, interpreting it through an interface that connects to a knowledge graph database.
Kitchen Search Lab
In this virtual laboratory, we investigate how humans search their environment for objects they need during everyday activities.
Eye Fixation Prediction Lab
We present a demonstration of a deep learning model designed to predict human fixation patterns across visual scenes.
Cube Stacking Experiment Lab
We present an experiment in which intuitive stability measurements are tested in 3D space.
Robot Pouring Simulation
We present a simulation used for causal investigations into robot pouring