Henry Arenbeck
Papers
3
Total Citations
17
H-Index
2
About
Henry Arenbeck’s research lies at the critical intersection of robotics, medical physics, and rehabilitation engineering, where he develops intelligent systems to improve patient outcomes. His primary contributions focus on two high-impact areas: robot-based compensation of respiratory motion during radiotherapy, and patient-tailored robotic rehabilitation for stroke survivors. In his most cited work, “Control methods for robot-based predictive compensation of respiratory motion” (2017, 8 citations), Arenbeck addresses the challenge of treating moving tumors by designing predictive control algorithms that enable robots to track and compensate for breathing-induced motion in real time. This work is foundational for advancing 4D radiotherapy techniques, which require intra-fractional closed-loop control of dose application. Complementing this, his 2014 paper on end-effector-based robot-assisted rehabilitation (7 citations) proposes a novel framework for patient-tailored supervision of upper extremity movement. Recognizing that millions suffer stroke each year, Arenbeck’s system allows patients to leverage their own movement strategies while receiving adaptive robotic guidance—a cost-effective approach that respects individual recovery trajectories. His German-language work on robotic systems for radiotherapy (2015) further consolidates his expertise. With a focused but impactful citation record, Arenbeck’s research demonstrates how robotics can be harnessed for both precision cancer therapy and personalized neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3