Theodore Goulas
Papers
9
Total Citations
89
H-Index
6
About
Theodore Goulas is a researcher specializing in human-robot interaction (HRI), assistive robotics, and multimodal communication modeling, with a particular focus on developing intelligent systems to support elderly and mobility-impaired users. His work is most prominently associated with the MOBOT project, a European initiative to create cognitive robotic assistants — specifically rollator-type mobility devices — capable of proactively and adaptively interacting with older adults experiencing walking and cognitive difficulties. Goulas has made significant contributions to the design of multimodal HRI communication frameworks, integrating verbal and non-verbal behavior analysis to enable robots to interpret and respond to human actions in context. His development of the MOBOT human-robot communication model and its accompanying dataset annotation scheme laid critical groundwork for training and evaluating assistive robot prototypes. He has also advanced user-centered design methodologies, carrying lessons from MOBOT into subsequent platforms such as i-Walk. His research has garnered over 80 citations across his most notable publications, with his 2016 paper on the MOBOT rollator interaction model being his most impactful work. Goulas's research stands at the intersection of robotics, accessibility, and human-computer interaction, making meaningful strides toward practical, user-validated assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1The MOBOT rollator human-robot interaction model and user evaluation process23 citations · 2016
- 2
- 3User Evaluation of the MOBOT Rollator Type Robotic Mobility Assistive Device13 citations · 2017
- 4User centered design in practice12 citations · 2019
- 5The MOBOT human-robot communication model10 citations · 2015
- 6
- 7The MOBOT Human-Robot Interaction4 citations · 2016
- 8The annotation scheme of the MOBOT dataset3 citations · 2014
- 9Multimodal Resources for Human-Robot Communication Modelling2 citations · 2016