Verena Rieser
Papers
3
Total Citations
63
H-Index
3
About
Verena Rieser is a leading researcher in conversational AI and human-robot interaction, with a focus on making machines truly useful in unstructured, real-world environments. Her work bridges natural language processing, spatial reasoning, and embodied robotics. In her highly cited 2017 review on spatial reasoning for robotics, she established foundational principles for enabling helper robots to understand geometric relationships and communicate them in human terms—a critical step toward autonomous systems that can navigate unknown spaces. More recently, she has been at the forefront of integrating large language models (LLMs) into embodied agents, as demonstrated by her 2023 work on FurChat, an LLM-powered conversational receptionist robot that blends open- and closed-domain dialogue with expressive facial gestures. Rieser also tackles the challenging problem of verifying NLP models, co-developing the ANTONIO framework to systematically generate benchmarks for neural network verification in language tasks—an area where traditional methods fall short. Her contributions are shaping how we build robots that can reason, converse, and interact safely in the human world.
Research Focus
Key Achievements
Top Papers
- 1A review of spatial reasoning and interaction for real-world robotics56 citations · 2017
- 2
- 3