Petra Gieselmann
Papers
6
Total Citations
337
H-Index
4
About
Petra Gieselmann is a pioneering researcher in human-robot interaction (HRI), specializing in multimodal communication systems that enable robots to understand and respond to natural human behaviors. Her foundational work integrates spontaneous speech recognition, visual perception of head pose and gestures, and multimodal dialogue processing, as demonstrated in her highly cited papers "Natural human-robot interaction using speech, head pose and gestures" (182 citations) and "Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot" (135 citations). These contributions established key frameworks for creating more intuitive and seamless interactions between humans and humanoid robots. Gieselmann also made significant advances in handling communication breakdowns, developing strategies to detect and resolve misunderstandings and dead-end situations in dialogues—a critical challenge in HRI. Her work on problem-sensitive response generation and error recovery mechanisms has influenced how robots manage miscommunications, distinguishing between system errors and user inexperience. Through user studies and innovative dialogue system designs, Gieselmann has helped shape the path toward truly natural, robust human-robot communication.
Research Focus
Key Achievements
Top Papers
- 1Natural human-robot interaction using speech, head pose and gestures182 citations · 2005
- 2Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot135 citations · 2007
- 3
- 4
- 5Problem-Sensitive Response Generation in Human-Robot Dialogs4 citations · 2007
- 6