Papers
2
Total Citations
38
H-Index
2
About
Alice Sotzek’s research lies at the critical intersection of human-robot interaction and shared control systems, with a focus on making collaborative robotics safer and more intuitive. Her most-cited work, “Human workflow analysis using 3D occupancy grid hand tracking in a human-robot collaboration scenario” (2011, 28 citations), pioneered the use of Hidden Markov Models to analyze and predict human actions during assembly tasks. By tracking hand movements in 3D space, Sotzek enabled robotic systems to anticipate a human partner’s next step, reducing task errors and improving workflow efficiency—a foundational contribution to adaptive human-robot collaboration. In a second highly cited paper (10 citations), she advanced shared control for quadruped rescue robots, developing a model predictive controller that seamlessly blends human commands with autonomous safety constraints. This work demonstrated how to prevent dangerous leg positions during teleoperation, directly improving robot stability in disaster response scenarios. Sotzek’s research is notable for its practical, experiment-driven approach: her assembly task studies involved real subjects building towers with cubes and bolts, grounding her theoretical models in tangible human performance data. With over 38 combined citations, her work continues to influence the design of assistive robots in manufacturing and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
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