Roxana Buzatoiu

Aalborg University

Papers

1

Total Citations

9

H-Index

1

About

Roxana Buzatoiu is a researcher specializing in human-machine interaction and robotics, with a particular focus on remote robot training systems and distributed automation technologies. Her most notable contribution, the 2018 paper "Human-Machine Interface for Remote Training of Robot Tasks," addresses a critical challenge in modern robotics: the geographical constraints that limit experienced operators from efficiently programming and training robotic systems. By developing innovative interface solutions, Buzatoiu's work enables applications ranging from massive open online robotics courses to crowd-sourced robot task training and large-scale machine learning robot farms — use cases that are increasingly relevant in an era of remote work and distributed research infrastructure. This foundational work has accumulated 9 citations, reflecting its value to the robotics and human-computer interaction communities. Her research sits at an important intersection of accessibility and automation, democratizing the ability to train and deploy robotic systems without requiring physical proximity to the hardware. For students and researchers working in teleoperation, remote robotics education, or human-robot collaboration, Buzatoiu's contributions offer meaningful insights into bridging the gap between human expertise and robotic capability across distances.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Human-Machine Interface for Remote Training of Robot Tasks
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Aalborg University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago