Papers
8
Total Citations
98
H-Index
5
About
Felix Ferdinand Goldau is a researcher specializing in assistive robotics, human-robot interaction, and shared control systems, with a particular focus on empowering individuals with motor impairments and disabilities. His work addresses one of the most pressing challenges in assistive technology: enabling people with conditions such as tetraplegia to perform everyday Activities of Daily Living independently, reducing reliance on caregivers. Goldau's most cited contribution, "Autonomous Multi-Sensory Robotic Assistant for a Drinking Task" (2019, 34 citations), demonstrated practical robotic solutions for fundamental care needs. His subsequent research has progressively advanced adaptive control methodologies, most notably through explorations of degree-of-freedom mapping and machine learning-driven shared control, applying convolutional neural networks to intelligently interpret user intent from low-dimensional inputs. His AdaptiX XR framework, accumulating 16 citations across two publications, provides a transitional development environment bridging virtual prototyping and real-world assistive robotics deployment. Beyond technical innovation, Goldau has contributed meaningfully to interdisciplinary nursing robotics through the AdaMeKoR project and released the DORMADL dataset to support the broader research community. With over 98 cumulative citations, his body of work reflects a sustained commitment to making robotic assistance genuinely usable, adaptive, and human-centered.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Multi-Sensory Robotic Assistant for a Drinking Task34 citations · 2019
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- 3Learning to Map Degrees of Freedom for Assistive User Control13 citations · 2021
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