Sami Haddadinl
Papers
1
Total Citations
43
H-Index
1
About
Sami Haddadin is a pioneering roboticist whose research spans physical human-robot interaction, robot safety, and learning from human feedback. As director of the Munich School of Robotics and Machine Intelligence at the Technical University of Munich, he has fundamentally reshaped how robots understand and respond to human intent. His work on multi-modal data alignment using transformers, exemplified by his 2022 study on reshaping robot trajectories via natural language commands (43 citations), bridges the gap between intuitive human communication and precise robotic control. Haddadin’s contributions extend to developing safety standards for collaborative robots, including the widely adopted ISO/TS 15066, and creating torque-controlled robots that can safely work alongside humans. With over 10,000 citations and numerous awards, including the IEEE Robotics and Automation Society Early Career Award, he has established himself as a leader in making robots more accessible and safer for real-world applications. His research continues to push boundaries in integrating language, touch, and motion into seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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