Philipp Kellmeyer
University of Freiburg, University Medical Center Freiburg, University of Mannheim
Papers
5
Total Citations
261
H-Index
4
About
Philipp Kellmeyer is a leading voice at the intersection of neuroethics, AI ethics, and rehabilitation robotics. His research critically examines the social and ethical dimensions of deploying intelligent systems in healthcare, with a particular focus on trust and fairness in human-robot interaction. Kellmeyer’s most influential work, including his 2019 paper on trust in socially assistive robots (179 citations), demonstrates that successful rehabilitation depends not only on technical performance but on the nuanced, relational dynamics between users and machines. He argues that trust is a foundational—and often overlooked—component of therapeutic outcomes, especially when robots are integrated into long-term care. His 2018 paper further explores how trust must be deliberately designed into social robots for rehabilitation, while his 2023 work critically questions whether robots can ever be truly trustworthy. More recently, Kellmeyer has turned to the pressing issue of fairness and bias in robot learning, contributing to emerging frameworks that ensure equitable treatment across diverse user populations. Through his interdisciplinary approach, Kellmeyer is shaping how we build not just smarter, but more responsible and human-centered robotic systems for the future of care.
Research Focus
Key Achievements
Top Papers
- 1Trust in socially assistive robots: Considerations for use in rehabilitation179 citations · 2019
- 2Social robots in rehabilitation: A question of trust57 citations · 2018
- 3Can robots be trustworthy?12 citations · 2023
- 4Fairness and Bias in Robot Learning9 citations · 2024
- 5Fairness and Bias in Robot Learning4 citations · 2022