Current Projects
Neural and Probabilistic Robotics
Neural models have incredible learning and modeling capabilities which was demonstrated in complex robot learning tasks (e.g., Martin Riedmiller’s or Sergey Levine’s work). While these…
Deep Reinforcement Learning for Navigation in Warehouses
Deep Reinforcement Learning (DRL) has demonstrated great success in learning single or multiple tasks from scratch. Various DRL algorithms have been proposed and were applied…
Autonomes Industrieroboterlabor der Zukunft (AI-Robot-Lab)
Ausstattung: 2 universal robotics UR3e Roboter, 2 FANUC CRX10iA Roboter eine Drehbank von ELMAG eine industrie Bohrfräse von ELMAG und ein Rollenförderband. Die Anforderungen an…
AI and Learning in Robotics
The challenges in understanding human motor control, in brain-machine interfaces and anthropomorphic robotics are currently converging. Modern anthropomorphic robots with their compliant actuators and various…
Active transfer learning with neural networks through human-robot interactions (TRAIN)
DFG Project 07/2020-07/2023 In our vision, autonomous robots are interacting with humans at industrial sites, in health care, or at our homes managing the household.…
Past Projects
Robert-Bosch-Stiftung LEGO Robotic 07/2019-10/2021
Neuartige Robotertechnologien und künstliche Lernmethoden können Schlüsseltechnologien sein, um unsere Umwelt zu schützen. Prof. Dr. Elmar Rückert und Herr Ole Pein haben diese Seite ins Leben gerufen, um…
H2020 Goal-Robots 11/2016-10/2020
This project aims to develop a new paradigm to build open-ended learning robots called `Goal-based Open ended Autonomous Learning’ (GOAL). GOAL rests upon two key…
Dynamic Control of a CableBot
Building a CableBot and Learning the Dynamics Model and the Controller Controlling cable driven master slave robots is a challenging task. Fast and precise motion…