Lucas Marchand

Boise State University

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

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
rrSDS: Towards a Robot-ready Spoken Dialogue System
15 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Boise State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago