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
NEEM Laboratory