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

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Extrapolation for Manual Robot Remote Welding
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

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  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago