Romeo Glovnea
Papers
2
Total Citations
7
H-Index
2
About
Romeo Glovnea is a leading researcher in robotics and automation, with a specialized focus on human-robot collaboration for complex manufacturing tasks. His work primarily addresses the automation of abrasive machining operations (AMO), such as sanding and polishing, which are critical in the remanufacturing industry. Glovnea’s major contributions lie in developing innovative control strategies that enable robots to handle unknown, flexible surfaces without requiring precise prior geometric knowledge. His 2025 paper, “Nonrepetitive-Path Iterative Learning and Control for Human-Guided Robotic Operations on Unknown Surfaces” (4 citations), introduces a novel framework that allows robots to learn from human guidance in real-time, significantly reducing labor-intensive manual work. Similarly, his 2023 work on “Human-Robot Collaboration for Unknown Flexible Surface Exploration and Treatment Based on Mesh Iterative Learning Control” (3 citations) advances the field by enabling robots to autonomously explore and treat deformable surfaces. Though early in citation accumulation, these papers represent foundational steps toward fully automating skilled manual tasks, promising to improve consistency and efficiency in industries where surface geometry is unpredictable. Glovnea’s research is pivotal for bridging the gap between human expertise and robotic precision.
Research Focus
Key Achievements
Top Papers
- 1
- 2