Svenja Tappe
Papers
17
Total Citations
135
H-Index
6
About
Svenja Tappe’s research lies at the intersection of **robotic manipulation, kinematics, and energy-efficient automation**, with a particular focus on **mobile manipulation, parallel robot modeling, and hyper-redundant systems for medical applications**. Her most cited work (28 citations) presents a holistic approach to door opening and traversal using a cartesian impedance controlled mobile robot, demonstrating robust autonomy without prior knowledge of door geometry. She has made significant contributions to **kinematic modeling for 3T2R and 3T3R tasks**, introducing reciprocal sets of Euler angles to resolve functional redundancy in parallel robots—a framework that has garnered 19 citations. Tappe’s impact extends to **energy modeling**, where she experimentally validated the influence of robot temperature on energy consumption (18 citations), improving prediction accuracy for industrial robots. In medical robotics, she has advanced **binary actuated snake-like robots** for minimally invasive surgery, designing tactile robotic sleeves and shape-sensing systems to enhance path-following and force resistance in endoscopes. Her work on voice recognition interfaces for guide robots and state-of-charge control for DC microgrids further showcases her versatility. With over 100 total citations across ten key publications, Tappe’s research bridges fundamental kinematics, practical energy optimization, and innovative medical device design.
Research Focus
Key Achievements
Top Papers
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