Vivien Mast
Papers
1
Total Citations
21
H-Index
1
About
Vivien Mast is a researcher whose work lies at the intersection of robotics, natural language processing, and probabilistic reasoning, with a particular focus on human-robot dialogue. Her key contributions center on enabling more natural and effective referential communication between humans and robots, especially when perceptual systems are imperfect. Mast’s most cited work, "Probabilistic reference and grounding with PRAGR for dialogues with robots" (2016, 21 citations), introduces the Probabilistic Reference And GRounding (PRAGR) mechanism. This system allows robots to handle complex, vague spatial descriptions by employing prototype-based feature models, effectively bridging the gap between human language and robotic perception. By addressing the challenge of perceptual deviation, Mast’s research advances the robustness of situated dialogue, making human-robot interaction more intuitive and reliable. Her work is notable for its rigorous probabilistic approach to grounding ambiguous references, a critical step toward deploying autonomous systems in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Probabilistic reference and grounding with PRAGR for dialogues with robots21 citations · 2016