Fabian Goell
Papers
2
Total Citations
3
H-Index
1
About
Fabian Goell is a rising researcher at the intersection of biomechanics and human-robot collaboration, with a focus on developing assistive technologies for aging and clinical populations. His work centers on two key areas: designing collaborative robotic systems that mimic human-human interaction to support individuals with sarcopenia, and advancing real-time musculoskeletal simulation for neuromuscular training. In his 2025 study on human-robot carrying tasks, Goell analyzed kinematics and spatiotemporal parameters to inform robotic assistance that reduces physical strain, a critical contribution for future collaborative work environments. His second major paper, also from 2025, tackles the challenge of predicting knee adduction moments during gait by integrating functional joint definitions with OpenSim’s real-time simulation capabilities—a breakthrough for personalized neuromuscular training aimed at preventing age-related muscle loss and managing musculoskeletal disorders. Though early in his career, Goell’s work has already garnered attention, with his most-cited papers accumulating 2 and 1 citations respectively. His innovative use of real-time simulation and human-inspired robotic design positions him as a promising voice in the fields of rehabilitation engineering and human-robot interaction, with clear implications for improving quality of life in aging populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2