Gustavo Caiza

About

Gustavo Caiza is a prolific researcher at the intersection of robotics, artificial intelligence, and Industry 4.0 technologies, with a body of work that bridges intelligent automation and immersive human-machine interaction. His research has made significant contributions to autonomous robot navigation, most notably through the application of Deep Q-Networks (DQN) for real-time obstacle avoidance and trajectory optimization — work that has garnered over 54 citations and pushed beyond the limitations of predefined-path approaches. Caiza has also advanced the field of robotic teleoperation, developing flexible architectures for intelligent oil field operations using lightweight communication protocols, earning 56 citations and demonstrating real-world industrial relevance. Beyond autonomy and control, Caiza has pioneered accessible automation solutions integrating Augmented Reality and IoT for low-cost industrial robotics, and has proposed immersive digital twin architectures for manufacturing execution systems that unify cyber-physical systems, robotics, and AR in Industry 4.0 environments. His work further extends into healthcare, exploring virtual reality for upper limb rehabilitation and medical equipment training. With a cumulative citation count approaching 200 across diverse domains, Caiza exemplifies a researcher whose interdisciplinary vision is reshaping how humans interact with intelligent machines across industry and medicine alike.

Research Focus

Key Achievements

Top Papers

1. 1
   Flexible robotic teleoperation architecture for intelligent oil fields

   56 citations · 2020
2. 2
   Autonomous Navigation of Robots: Optimization with DQN

   54 citations · 2023
3. 3
   Augmented Reality for Robot Control in Low-cost Automation Context and IoT

   27 citations · 2020
4. 4
   An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes

   20 citations · 2024
5. 5
   Applications of Artificial Intelligence Techniques for trajectories optimization in robotics mobile platforms

   15 citations · 2023
6. 6
   Applying Deep Q-Networks to Local Route Optimization

   12 citations · 2024
7. 7
   Upper Limb Rehabilitation with Virtual Environments

   5 citations · 2019
8. 8
   From Reactive to Proactive: How Industry 4.0 Enables Maintenance 4.0 for Robotics Arm

   3 citations · 2024
9. 9
   Gravity Compensation Using Low-Cost Automation for Robot Control

   2 citations · 2020
10. 10
    Virtual and Augmented Reality for Training and Maintenance of a Multiparameter Monitor

    2 citations · 2023

Key Collaborators

Contact & Links