The Technical University of Munich (TUM) is one of Europe’s top universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion on promising young scientists. The university also forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence and regularly ranks among the best European universities in international rankings. The Chair of Robotics and Systems Intelligece (RSI) is a member of the newly founded TUM Munich School of Robotics and Machine Intelligence directed by Prof. Sami Haddadin. The goal of RSI is to significantly advance the scientific foundations for intelligent machines capable of autonomous acting in our world and in close interaction with their human creators. The research focus of RSI is the development of control algorithms, mechatronics, intelligent robotics and prosthetics, robot learning algorithms, foundations of machine intelligence, as well as nonlinear control and systems theory. Prof. Haddadin and his team contributed in the research domains of physical human-robot interaction, nonlinear robot control, real-time motion planning, real-time task and reflex planning, robot learning, optimal control for elastic systems, human motor control, variable impedance actuation as well as safety in robotics.
Key people
- Sami Haddadin: PI
- Torsten Lilge: Senior Researcher
- Mazin Hamad: PhD Student
- Marvin Becker: PhD Student
Role in the project
Within ILIAD, TUM will contribute on ensuring human-safety during mobile system motions in dynamic environment as well as robotic grasping and manipulation. For this, we will extend already existing data on human injury in robotics by a thorough risk analysis followed by crash-testing simulations and experiments. With the help of these data, we provide methods for shaping the vehicles velocity in order to prevent human injuries even in the case of collisions.