Matthew Stone
Papers
2
Total Citations
12
H-Index
2
About
Matthew Stone is a leading researcher in the fields of collaborative robotics, multi-modal dialogue, and human-robot interaction, with a focus on how machines can achieve effective, intuitive communication with human partners. His major contributions center on the principles of grounding and common ground—the shared beliefs and goals that enable successful collaboration. In his highly cited 2020 work, "That and There: Judging the Intent of Pointing Actions with Robotic Arms" (9 citations), Stone developed a novel set of interpretive principles that allow robotic arms to use pointing gestures to convey task information, bridging the gap between human intent and machine action. This work is foundational for designing robots that can communicate naturally in shared physical spaces. Additionally, his paper "Achieving Common Ground in Multi-modal Dialogue" (3 citations) critically examines how computational dialogue models can be extended to ensure mutual understanding across verbal and non-verbal channels. Stone’s research is notable for its practical impact on human-robot teamwork, offering clear frameworks that inform the development of more responsive, socially aware robotic systems. His work is essential reading for students and researchers interested in the intersection of linguistics, AI, and robotics.
Research Focus
Key Achievements
Top Papers
- 1That and There: Judging the Intent of Pointing Actions with Robotic Arms9 citations · 2020
- 2Achieving Common Ground in Multi-modal Dialogue3 citations · 2020