Tessa Beauchat
Papers
1
Total Citations
4
H-Index
1
About
Tessa Beauchat is a rising scholar at the intersection of construction engineering and robotics, whose work is reshaping how we understand automation’s ripple effects on project workflows. Her primary research areas include robotic construction, schedule dependency analysis, and graph-based modeling for project sequencing. In her most-cited paper, “Analyzing Schedule Dependency and Sequencing Changes for Robotic Construction Using Graph Analysis” (2022, 4 citations), Beauchat introduces a novel framework that moves beyond isolated task replacement, demonstrating how robot integration alters entire chains of construction activities due to differences in physical capabilities and constraints. This graph-based approach provides a powerful tool for predicting cascading schedule changes, enabling more resilient project planning. While her citation count is still growing, her work is already recognized for its methodological rigor and practical relevance, offering a foundational lens for future research on human-robot collaboration in construction. Beauchat’s contributions are particularly valuable for students and practitioners seeking to anticipate the systemic impacts of automation, marking her as a thoughtful voice in the evolving dialogue on digital construction.
Research Focus
Key Achievements
Top Papers
- 1