Jacqueline Rutschke
FZI Research Center for Information Technology, Karlsruhe Institute of Technology
Papers
2
Total Citations
22
H-Index
2
About
Jacqueline Rutschke is a roboticist whose work bridges bio-inspired locomotion and haptic feedback for medical training. Her research centers on two key areas: developing neural control architectures for legged robots and creating haptic displays for surgical simulation. In her most cited work, "Combining spiking motor primitives with a behaviour-based architecture to model locomotion for six-legged robots" (2019, 15 citations), she pioneered a novel approach that integrates spiking neural networks with behavior-based control to generate adaptive, insect-like gaits. This bio-inspired method allows robots with complex kinematics to navigate uneven terrain without traditional inverse kinematics, offering a flexible solution for challenging locomotion problems. Earlier, Rutschke contributed to medical robotics with "A haptic display for tactile and kinesthetic feedback in a CHAI 3D palpation training scenario" (2015, 7 citations), where she co-developed a dual-feedback device that restores the sense of touch in robot-assisted surgery training. Her work addresses a critical gap in minimally invasive procedures, enabling surgeons to practice palpation—a diagnostic technique otherwise lost in telesurgery. Though early in her career, Rutschke’s research demonstrates a clear trajectory toward making robots more perceptive and adaptive, with applications ranging from field robotics to surgical education.
Research Focus
Key Achievements
Top Papers
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