Papers
6
Total Citations
56
H-Index
5
About
Christina Ramer is a leading researcher in human-robot collaboration and flexible automation, with a focus on making industrial robots safe, intuitive, and accessible. Her work bridges the gap between fully automated systems and manual production, particularly for small and medium enterprises. Her most cited paper (2020, 18 citations) introduces a human-in-the-loop simulation system for collaborative robot applications, addressing the critical challenge of planning and engineering in flexible production environments. She also developed an autonomous motion planner for 6-DOF industrial robots (2013, 14 citations) based on workspace cell decomposition, enabling efficient obstacle avoidance. Ramer’s innovative integration of a collaborative robot with a lightweight Jamming-Gripper (2014, 9 citations) demonstrates programming by demonstration, making robots easier to use for non-experts. She has also explored dielectric elastomer actuators (DEAs) for inherently compliant robotic systems (2014, 7 citations), envisioning future assistive, safe robots and prostheses. Her work on workspace surveillance using ToF cameras (2014, 5 citations) supports health protection and disabled workers. With over 56 total citations, Ramer’s research is shaping the next generation of collaborative, flexible, and human-friendly industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 5Work Space Surveillance of a Robot Assistance System Using a ToF Camera5 citations · 2014
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