Technical University of Munich

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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 of promising young scientists. The university also forges strong links with companies and scientific institutions across the world. It participates in the project through the chair of Robotics and System Intelligence (RSI) which currently consists of more than 30 researchers and is directed by Prof. Sami Haddadin since April 2018. 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. These machines shall be part of global and heterogeneous networks that enable the use of massive computing power and high-speed communication to increase their capabilities and thus significance and contribution to our society. For this, researchers at RSI bridge the gap between disciplines such as automatic control, robotics, machine learning, and human motor control. 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. The chair of Robotics and System Intelligence (RSI) is a part of Munich School of Robotics and Machine Intelligence (MSRM).

Key people

  • Sami Haddadin: PI
  • Saeed Abdolshah: Senior Researcher
  • Mazin Hamad: PhD Student
  • Robin-Jeanne Kirschner: PhD Student

Role in the project

Within ILIAD, RSI 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.

Between January 2017 and March 2018, this role in the consortium was filled by Leibniz Universität Hannover (LUH). The researchers working for the ILIAD project included Torsten Lilge, Senior Researcher and Marvin Becker, PhD Student. After the move of Professor Sami Haddadin from LUH to TUM in April 2018, TUM replaced LUH in the consortium.