Gautier Arcin
Papers
1
Total Citations
3
H-Index
1
About
Gautier Arcin is a robotics researcher specializing in industrial robot optimization, with a focus on torque-based methodologies for enhancing operational efficiency. His most-cited work, "Torque-based methodology and experimental implementation for industrial robot standby pose optimization" (2020), introduces a novel approach to minimizing energy consumption and mechanical wear by optimizing the standby poses of industrial robots. This contribution directly addresses practical challenges in manufacturing, offering a data-driven framework that reduces unnecessary torque loads during idle periods. Although his citation count is modest—with his key paper garnering three citations—Arcin's work stands out for its experimental rigor and direct applicability to real-world robotic systems. His research bridges the gap between theoretical optimization and industrial implementation, providing engineers with actionable strategies to improve robot longevity and energy efficiency. Arcin's methodology has potential implications for reducing operational costs in automated production lines, making his contributions valuable for both academia and industry practitioners seeking to refine robotic workflows.
Research Focus
Key Achievements
Top Papers
- 1