|Name:||Open Source Balancing and Walking Control Framework for Humanoid Robots in ROS – OpenWalker|
|Funded by:||European Union, H2020|
Open Walker is a Focused Technical Project (FTP) in the ROSIN project, funded by the EU in the H2020 program. OpenWalker’s aim is to satisfy the necessity of a framework for balance and walking controllers, and to easily adapt to any biped robot architecture. OpenWalker will provide the tools for developers and contributors to implement their own walking controllers without having to create the whole framework for every robot they use thus reducing implementation time. Partner in the project is PAL Robotics.
ROSIN aims to create a collection of open-source, quality-assured software components for real-world robot applications1. Its starting points are the existing ROS-Industrial framework and community. One of the instruments used by ROSIN to progress towards the stated goal consists in the concept of Focused Technical Projects (FTPs).
|Funded by:||TUM International Graduate School of Science and Engineering (IGSSE)|
|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.|
|Funded by:||TUM Institute of Advanced Studies|
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|
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.
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.
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|
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.
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:
|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.|
|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.|
|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.|