Lucas Christoph Ebel
Papers
2
Total Citations
12
H-Index
2
About
Lucas Christoph Ebel is a researcher advancing the frontier of human-robot collaboration in industrial manufacturing, with a primary focus on remote welding systems. His work addresses critical challenges in teleoperation by developing algorithms that enable skilled welders to perform complex tasks from a safe distance, free from physical strain and hazardous exposure. Ebel’s most cited paper, “Trajectory Extrapolation for Manual Robot Remote Welding” (2021, 9 citations), introduces a novel algorithm for online hand-motion extrapolation that overcomes the spatial limitations of a welder’s arms, allowing continuous weld seams across larger workspaces. This contribution directly reduces operator fatigue and enhances precision. His earlier work, “Motion Signal Processing for a Remote Gas Metal Arc Welding Application” (2020, 3 citations), lays the foundation by detailing signal processing techniques for real-time human-robot control. Together, these studies form a cohesive effort to merge human skill with robotic endurance, offering a safer, more efficient alternative to traditional welding. Ebel’s research is particularly notable for its practical impact on manufacturing ergonomics and its potential to transform hazardous industrial tasks into remotely operated, high-quality processes.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Extrapolation for Manual Robot Remote Welding9 citations · 2021
- 2Motion Signal Processing for a Remote Gas Metal Arc Welding Application3 citations · 2020