Lingbin Chen
Papers
1
Total Citations
3
H-Index
1
About
Lingbin Chen is a researcher in robotics and automation, with a primary focus on energy-efficient control systems for multi-degree-of-freedom robotic manipulators. His most cited work, "Multi-DOF Robotic Manipulator Trajectory Controlling based on Minimum Energy Optimization" (2015, 3 citations), introduces a novel methodology for minimizing energy consumption during robotic motion. By analyzing the work process between two given configurations and examining key factors affecting motor energy use, Chen developed an optimized trajectory control approach that balances performance with power efficiency. This contribution is particularly relevant for industrial automation, where reducing energy costs is critical for sustainable manufacturing. Though his citation count is modest, Chen’s work addresses a foundational challenge in robotics—energy optimization—and provides a framework that can be built upon for future advancements in autonomous systems and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1