Papers

2

Total Citations

23

H-Index

2

About

Diego Benavides is a researcher at the forefront of industrial robotics and medical technology, specializing in teleoperation systems and surgical automation. His work bridges the gap between accessible, open-source engineering and high-stakes clinical applications. In his highly cited 2019 paper, "Web Compliant Open Architecture For Teleoperation of Industrial Robots" (15 citations), Benavides proposed a groundbreaking web-based solution using open-source programming and standard communication protocols, offering a flexible, cost-effective framework for modern industry. More recently, his 2024 study, "Real-Time Tool Localization for Laparoscopic Surgery Using Convolutional Neural Network" (8 citations), addresses a critical need in partially automated robotic surgery. By employing CNNs for real-time tool tracking, Benavides enhances the precision and efficiency of camera-holding robotic systems, a pivotal step toward safer, more autonomous surgical procedures. His work demonstrates a clear trajectory from foundational industrial robotics to cutting-edge medical applications, underscoring his impact on both fields. With a growing citation record and a focus on practical, real-time solutions, Benavides is shaping the future of human-robot collaboration in surgery and industry alike.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Web Compliant Open Architecture For Teleoperation of Industrial Robots
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National University of San Marcos, Universidad de Valladolid

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago