Rebecca Richter

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Universität der Bundeswehr München

Papers

Total Citations

H-Index

About

Rebecca Richter is a rising leader in surgical robotics and autonomous manipulation, whose work bridges the gap between human skill and machine precision. Her primary research areas include digital twin technology for surgical training, trajectory planning for robotic manipulators, and optimal control in cluttered environments. Richter’s most influential contribution is her 2021 paper, “A Digital Twin Approach for Contextual Assistance for Surgeons During Surgical Robotics Training,” which has garnered 43 citations. This work introduces a novel framework that leverages real-time digital replicas of surgical robots to provide contextual, haptic feedback during minimally invasive procedures—addressing a critical limitation of teleoperated systems that lack tactile sensation. By enhancing the surgeon’s situational awareness and training efficiency, this approach has the potential to improve patient outcomes and accelerate skill acquisition. Richter has also advanced trajectory planning with her 2023 papers on dynamic programming and adaptive mesh algorithms, tackling the challenge of collision-free motion in high-dimensional, obstacle-rich spaces. Her work on nonlinear programming for trajectory planning (12 citations) offers robust solutions where general-purpose solvers often fail. With a growing citation record and a focus on translating complex control theory into practical surgical tools, Richter is shaping the future of robot-assisted medicine.