Elisa Passone
Papers
1
Total Citations
2
H-Index
1
About
Dr. Elisa Passone is a leading researcher at the intersection of Human-Robot Interaction (HRI) and multi-modal artificial intelligence. Her primary contributions lie in advancing grounded natural language understanding for robots, where she has pioneered methods to integrate linguistic, visual, and world knowledge for more effective task execution. Her most cited work, "Training Multi-Modal LLMs through Dialogue Planning for HRI" (2025), introduces a groundbreaking explicit dialogue planning phase that significantly enhances Multi-Modal Large Language Models (MLLMs). This innovation allows robots to better interpret and respond to complex human instructions by structuring interactions before execution. With 2 citations already, this early-career work is gaining traction for its practical approach to bridging the gap between high-level language commands and low-level robotic actions. Passone’s research is particularly notable for its focus on real-world deployment, addressing critical challenges in collaborative robotics. Her achievements position her as an emerging voice in making HRI more intuitive and robust, with implications for assistive technologies, manufacturing, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Training Multi-Modal LLMs through Dialogue Planning for HRI2 citations · 2025