The Institute for Artificial Intelligence investigates methods for cognition-enabled robot control. The research is at the intersection of robotics and Artificial Intelligence and includes methods for intelligent perception, dexterous object manipulation, plan-based robot control, and knowledge representation for robots.

Robots performing complex tasks in open domains, such as assisting humans in a household or collaboratively assembling products in a factory, need to have cognitive capabilities for interpreting their sensor data, understanding scenes, selecting and parametrizing their actions, recognizing and handling failures and interacting with humans. In our research, we are developing solutions for these kinds of issues and implement and test them on the robots in our laboratory. A particular focus of the group is on the integration of individual methods into complete cognition-enabled robot control systems and the release of the developed software as open-source libraries.

Collaborative Projects

EASE is a collaborative research center. EASE we will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.
The REMARO project address the challenge of the development of reliable AI-system that can act in new activities under water. The goal is to design brains for robots that enables robots to act safely while allowing them to improve by self-learning. Three project partners are from Bremen: DFKI, ROSEN Group, and the Institute of Artificial Intelligence at the University of Bremen.
develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents.
The initiative Farbige Zustände aims at the development of a novel experimental method for the development of metallic structural materials. The overall aim is the efficient and focused identification of compositions and process chains which result in a specific performance profile of the material. Conventional materials developments are based on costly experimental investigations of chemical, mechanical or technological material properties. The IAI uses methods of AI and machine learning to predict materials properties based on relationships extracted from experimental data and semantic knowledge.
Der stationäre Einzelhandel befindet sich im Umbruch und sucht derzeit nach neuen Lösungen, um im Wettbewerb mit Onlinehändlern bestehen zu können. In Knowledge4Retail (K4R) soll eine Plattform entstehen, die die Entwicklung und Nutzung von KI und den Einsatz von Servicerobotern im Einzelhandel voranbringt. Dabei sollen sogenannte „semantische digitale Zwillinge“ (semdZ) von Filialen als Grundlage für filial- und kundenindividuelle Lösungen in Einzelhandelsfilialen dienen. So kann mit semdZ die Logistik für jede Filiale individuell abgestimmt werden und vor Ort der Warenfluss nach exakter Platzierung der Produkte angepasst werden. Die Sortimentszusammenstellung kann sich filialindividuellen Besonderheiten dynamisch anpassen, und technische Hilfsmittel interagieren mit der K4R-Plattform, um die Mitarbeiter in der Filiale zu unterstützen.
RoboHow enables robots to competently perform everyday human-scale manipulation activities - both in human working and living environments.
SAPHARI investigates Safe and Autonomous Physical Human-Aware Robot Interaction
SHERPA develops a mixed autonomous ground and aerial robotic platform for support in search and rescue
ACAT enables robots to use information sources made for humans by learning and executing Action Categories
RoboSherlock poses perception as a question answering problem and uses the unstructured information management paradigm to create a framework for perceiving objects of daily use
BayCogRob -- Bayesian cognitive robotics - Autonomes Lernen für Bayes'sche kognitive Robotik (Schwerpunktprogramm Autonomes Lernen - DFG)
MeMoMan: Markerless Tracking of Human Motions investigates Methods for real-time accurate Model-based Measurement of HuMan Motion

Internal Research Projects

openEASE: Web-based Knowledge Processing Service for Robots and Robotics/AI Researchers
CRAM: Cognitive Robot Abstract Machine
KnowRob: Knowledge processing for autonomous robots
pracmln: Markov logic networks in Python
PRAC: Probabilistic Action Cores – Natural-language understanding for intelligent robots
Naive Physics reasoning by simulation: Simulation-based reasoning about physical effects