Rosemarie Velik
Papers
7
Total Citations
111
H-Index
5
About
Rosemarie Velik is a researcher whose work spans human-robot interaction, cognitive modeling, machine perception, and robotic rehabilitation — fields at the intersection of engineering, cognitive science, and artificial intelligence. Her most influential contribution, a 2017 study garnering 33 citations, pioneered a real-time probabilistic framework for measuring situation awareness through eye-tracking and 3D gaze analysis, offering a breakthrough methodology for optimizing how humans and robots collaborate in shared environments. Her 2016 work on the YuMi collaborative robot, which engaged users in solving tangram puzzles, further demonstrated her commitment to intuitive, human-centered robotics with 25 citations. Velik has also made notable contributions to robotic rehabilitation, introducing the Variable Stiffness Structure concept for safer and more comfortable limb attachment devices. Her philosophical inquiry, "Why Machines Cannot Feel," reflects a rare breadth of intellectual curiosity, probing the boundaries of machine consciousness. Across multiple publications from 2007, she developed a hierarchical, multimodal model for humanlike machine perception — foundational work that shaped her subsequent research agenda. Together, these contributions establish Velik as a distinctive voice bridging technical robotics and deeper questions about human cognition and machine intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Variable Stiffness Structure for limb attachment17 citations · 2011
- 4Why Machines Cannot Feel14 citations · 2010
- 5
- 6
- 7