Gilberto Ochoa‐Ruiz

About

Gilberto Ochoa-Ruiz is a leading researcher at the intersection of computer vision, robotics, and real-time embedded systems. His work primarily focuses on advancing medical robotics and automated manufacturing through intelligent control and perception. A major contribution is in real-time instance segmentation for surgical instruments, where his work on YOLACT++ and Attention YOLACT++ (accumulating over 26 citations) has improved the safety and precision of computer-assisted endoscopic procedures. In robotics, he has pioneered the use of hardware-in-the-loop architectures and recurrent high-order neural networks for sliding-mode control, achieving high-performance control for 2DOF robots. His notable engineering achievement includes the design of a SoC FPGA-based control system for an ultrafast carbon fiber placement robot, significantly improving throughput and precision in composite manufacturing. Through these contributions, Ochoa-Ruiz demonstrates a unique ability to bridge advanced algorithms with practical, real-time hardware implementations, impacting both surgical robotics and industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

   24 citations · 2021
2. 2
   Design and Implementation of a Real Time Control System for a 2DOF Robot Based on Recurrent High Order Neural Network Using a Hardware in the Loop Architecture

   8 citations · 2021
3. 3
   Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform

   3 citations · 2017
4. 4
   Attention YOLACT++ for real-time instance segmentation of medical instruments in endoscopic procedures

   2 citations · 2021

Key Collaborators

Contact & Links