Lucas Marchand
Papers
1
Total Citations
15
H-Index
1
About
Lucas Marchand is a leading researcher in human-robot interaction, specializing in the development of robot-ready spoken dialogue systems. His work addresses the critical challenge of enabling natural, real-time spoken communication between humans and physical robots, requiring dialogue architectures that are modular, multimodal, and temporally aligned. His most-cited paper, "rrSDS: Towards a Robot-ready Spoken Dialogue System" (2020, 15 citations), introduces a significant expansion of the ReTiCo incremental framework, demonstrating how to achieve the distributed and incremental processing essential for fluid human-robot collaboration. This contribution lays the groundwork for more responsive and intuitive robotic assistants. Marchand’s research is pivotal for advancing beyond rigid, turn-based interactions toward truly conversational robots, with implications for service robotics, manufacturing, and assistive technologies. His work is increasingly recognized as foundational for the next generation of socially aware and physically interactive AI systems.
Research Focus
Key Achievements
Top Papers
- 1rrSDS: Towards a Robot-ready Spoken Dialogue System15 citations · 2020