Tobias Rehrl
Papers
9
Total Citations
88
H-Index
5
About
Tobias Rehrl is a leading researcher in human-robot interaction (HRI), with a particular focus on developing intuitive, multimodal communication systems for assistive robotics. His work centers on creating frameworks that enable robots to understand and respond to a rich combination of human inputs—including speech, gestures, and facial expressions—in real time. Rehrl’s most influential contribution is his pioneering framework for multimodal data processing, first presented in 2009, which integrates separate modules for different input and output signals to facilitate seamless human-robot dialog. This foundational work has garnered over 37 citations and established a key methodology for the field. He is also the driving force behind the ALIAS robot platform, an ambient adaptable living assistant designed to enhance social inclusion and well-being for elderly people living alone. Through ALIAS, Rehrl has explored applications in health monitoring and gaming, demonstrating how socially assistive robots can improve quality of life. His research on integrating emotional feedback into human-robot dialogs further highlights his commitment to creating more natural, engaging, and empathetic robotic companions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-time framework for multimodal human-robot interaction12 citations · 2009
- 3The Robot ALIAS as a Database for Health Monitoring for Elderly People11 citations · 2013
- 4A Multimodal Human-Robot-Dialog Applying Emotional Feedbacks9 citations · 2010
- 5The Robot ALIAS as a Gaming Platform for Elderly Persons6 citations · 2013
- 6The ambient adaptable living assistant is meeting its users5 citations · 2012
- 7
- 8
- 9Real-time face and gesture analysis for human-robot interaction2 citations · 2010