Papers

1

Total Citations

22

H-Index

1

About

Luis U. Evangelista-Hernandez is a leading researcher in robotics and control systems, with a focus on industrial automation and force/motion control. His major contribution lies in developing innovative control strategies for robots with closed control architectures—those whose factory-installed controllers cannot be modified by users. In his highly cited 2021 paper, he proposed a force/motion control approach based on trajectory planning that enables these rigid, PID-controlled industrial robots to perform complex tasks without altering their internal controllers. This work has garnered 22 citations, reflecting its practical impact on manufacturing and automation. Evangelista-Hernandez’s research bridges the gap between theoretical control methods and real-world industrial constraints, offering accessible solutions for enhancing robot dexterity and safety. His achievements are particularly notable for addressing a long-standing limitation in robotics, making advanced force control feasible for standard industrial setups. For students and researchers, his work exemplifies how creative trajectory planning can unlock new capabilities in legacy systems, driving efficiency and precision in automated production lines.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A Force/Motion Control Approach Based on Trajectory Planning for Industrial Robots With Closed Control Architecture
22 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago