Biography

Moritz Eckhoff is a research associate and doctoral candidate at the Chair of Robotics and Systems Intelligence (RSI) at the Technical University of Munich (TUM), Germany, and a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). He received his M.Sc. in Electrical Engineering and Information Technology from TUM in 2021, specializing in Robotics and Automation. Prior to that, he obtained his B.Sc. in Electrical Engineering from Osnabrück University of Applied Sciences, Germany, in 2018. His work focuses on methods for closing the experimental discovery loop in life science research using robotics and machine learning.

Research Interests

• Autonomous Scientific Discovery
• Machine Learning and Optimization
• Learning of Knowledge Discovery Processes
• Robotics in Life Sciences: Biotechnology, Pharmaceutical and Health Care

Contact

• LinkedIn
• Google Scholar

Selected Publications

• Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann, Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges, 2025. [Project Page]
• Moritz Eckhoff, Dennis Knobbe, Henning Zwirnmann, Abdalla Swikir, Sami Haddadin, Towards Connecting Control to Perception: High-Performance Whole-Body Collision Avoidance Using Control-Compatible Obstacles, 2023. [Project Page]
• Moritz Eckhoff, Robin Jeanne Kirschner, Elena Kern, Saeed Abdolshah, Sami Haddadin, An MPC Framework For Planning Safe \& Trustworthy Robot Motions, 2022. [Project Page]