Rebecca Erlebach
Papers
1
Total Citations
2
H-Index
1
About
Rebecca Erlebach is a pioneering researcher at the intersection of robotics and construction automation, with a primary focus on learning from demonstration (LfD) and the automation of physically demanding, hazardous construction tasks. Her most cited work, a 2025 pilot study, makes a significant contribution by addressing the challenge of automating mastic deposition—a task traditionally performed manually in expansion joint filling. Erlebach’s key innovation lies in developing a framework where robots learn from teleoperated demonstrations, critically accounting for the variable density of mastic with temperature, a real-world complexity often overlooked. This work has already garnered 2 citations, signaling early impact in a niche but vital area of construction robotics. By targeting high-risk, repetitive manual labor, Erlebach’s research promises to enhance worker safety and productivity, bridging the gap between robotic learning and practical, on-site deployment. Her achievements mark her as an emerging leader in applied robotics, with potential to transform construction site workflows through intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1