Current Projects

Name: Brain-To-Sound Computer Interfaces: Neurofeedback of Music for Entrainment, Interaction and Neurorehabilitation
Funded by: TUM International Graduate School of Science and Engineering (IGSSE)
Funding period: 2017-2020
In engineering, Brain-Computer Interfaces (BCI) and Neurofeedback applications have been developed for providing patients with alternative pathways of communication and interaction, as well as innovative neuro-rehabilitation treatment protocols. Bridging these two fields, the goal of this project is the interdisciplinary development of a Brain-Computer Interface platform that allows human subjects to interact directly and continuously with synthesized sound and music stimuli.
Name: TUM IAS Hans Fischer Senior Fellow Prof. Takao Someya, Focus Group on Artificial Electronic Skin
Funded by: TUM IAS
Funding period: 2017-2020

The Focus Group on Artificial Electronic Skin aims at the implementation of a novel paradigm that could lead to important advances in robotics. This research pursues the creation of an artificial electronic skin that imitates the properties of human skin using innovative fabrication techniques of printed electronics.


Name:Collaborative research center (SFB) on Everyday Activity Science and Engineering (EASE) coordinated by Bremen University
Funded by: DFG
Funding period: 2017-2021

Everyday Activity Science and Engineering (EASE) is the study of 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.


Funded by:
H2020 - Marie Skłodowska-Curie Individual Fellowship granted by the European Union
Funding Period:


To develop robots that learn to recognize their own body and distinguish it from other elements in the environment, is the goal of the SELFCEPTION research project.

Past Projects

Funded by:FP7-FET
Funding Period:2013-2017

The project Factory-in-a-Day aims at improving the competitiveness of European manufacturing SMEs by removing the primary obstacle for robot automation: installation time and installation cost.

Name:Helmholtz Young Investigators Group
Funded by:FP7-FET
Funding Period:2011-2016

This Helmholtz Young Investigators Group project, titled “Dynamic Control of Legged Humanoid Robots”, covers key aspects of humanoid robot control by focusing on advanced motion skills for locomotion and physical interaction.

Funded by:FP7-FET
Funding Period:2012-2015

CONTEST (COllaborative Network for Training in Electronic Skin Technology) is a multi-site initial training network (ITN) funded by European Commission to work in the fast expanding field of flexible and large area electronics and applications. It pushes research frontiers towards: 

  • Multifunctional Electronics.
  • Bendable and stretchable electronic systems over large areas.
  • Integration of organic and inorganic materials based components onto the same substrate.
Funded by:BMBF
Funding Period:2010-2015
The Bernstein Center for Computational Neuroscience Munich is home of various groups from disciplines ranging from biology, medicine and psychology to physics, engineering and computer science. Involved are Scientists from the Ludwig-Maximilians-Universität München (LMU), the Technische Universität München (TUM), the Max-Planck Institute of Neurobiology, MED-EL and NPI Electronic. 
Funded by:FP7-FET
Funding Period:2012-2013
The RoboCom initiative is a unique federated multi-disciplinary endeavor to develop and deploy a new generation of robots, the Robot Companions, that will have a direct impact on European society and beyond.
Funded by:DFG
Funding Period:2005-2014
Cognitive capabilities such as perception, reasoning, learning, and planning turn technical systems into systems that "know what they are doing". Starting from the human brain the Cluster of Excellence "CoTeSys" investigates cognition for technical systems such as vehicles, robots, and factories. Technical systems that are cognitive will be much easier to interact and cooperate with, and will be more robust, flexible, and efficient.