Alejandro Rodríguez
Ramos
Creating the eyes for robots
Lead researcher in the industry and the academia
PhD in Artificial Intelligence & Robotics
About Me
Background
With 11+ years expertise in the field and a PhD in Artificial Intelligence and Robotics, I specialize in developing cutting-edge AI solutions that bridge the gap between theoretical research and practical applications.
My expertise spans across deep learning architectures, reinforcement learning algorithms, and autonomous drone systems. I'm passionate about creating intelligent systems that can perceive, learn, and adapt to complex real-world environments, with proven experience in industrial projects, as well as in high-performance robotics competitions.
As a strong advocate for open-source software and collaborative research, I believe in sharing knowledge and building technology that benefits the broader society.
These days, I'm working on open-source projects that make AI and robotics more accessible while exploring how we can use these tools to make a real difference in people's lives. AI and robotcs, not meant for banal consumption, meant for people's real empowerment.
AI & ML
Robotics
Tools & Frameworks
Featured Projects
Explore my latest work in AI, computer vision, and robotics. Each project represents innovation at the intersection of research and practical application.
Publications & Research
Selected publications from peer-reviewed journals and conferences in AI, robotics, and computer vision.
Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision
R. Da-Silva-Gomez, A. Rodriguez-Ramos, D. Perez-Saura, G. GP-Lenza, et al.
7th Iberian Robotics Conference (ROBOT) (2024)
Autonomous aerial robot for high-speed search and intercept applications
A. Rodriguez-Ramos, A. Alvarez-Fernandez, H. Bavle, J. Rodriguez-Vazquez, L. Lu, M. Fernandez-Cortizas, R. Suarez Fernandez, A. Rodelgo, C. Santos, M. Molina, L. Merino, F. Caballero, P. Campoy
Field Robotics (2022), vol. 2, pp. 1320-1350
An aerial/ground robot team for autonomous firefighting in urban GNSS-denied scenarios
S. Martínez-Rozas, R. Rey, D. Alejo, D. Acedo, J. A. Cobano, A. Rodríguez-Ramos, P. Campoy, L. Merino, F. Caballero
Field Robotics (2022), vol. 2, pp. 241-273
Skyeye team at mbzirc 2020: A team of aerial and ground robots for gps-denied autonomous fire extinguishing in an urban building scenario
S. Martinez-Rozas, R. Rey, D. Alejo, D. Acedo, J. A. Cobano, A. Rodríguez-Ramos, P. Campoy, L. Merino, F. Caballero
arXiv preprint arXiv:2104.01834 (2021)
Building the executive system of autonomous aerial robots using the Aerostack open-source framework
M. Molina, A. Carrera, A. Camporredondo, H. Bavle, A. Rodriguez-Ramos, P. Campoy
International Journal of Advanced Robotic Systems (2020), vol. 17, no. 3
An execution control method for the Aerostack aerial robotics framework
M. Molina, A. Camporredondo, H. Bavle, A. Rodriguez-Ramos, P. Campoy
Frontiers of Information Technology & Electronic Engineering (2019), vol. 20, no. 1, pp. 60-75
A fully-autonomous aerial robot for search and rescue applications in indoor environments using learning-based techniques
C. Sampedro, A. Rodriguez-Ramos, H. Bavle, A. Carrio, P. de la Puente, P. Campoy
Journal of Intelligent & Robotic Systems (2019), vol. 95, no. 2, pp. 601-627
Deep learning-based system for automatic recognition and diagnosis of electrical insulator strings
C. Sampedro, J. Rodriguez-Vazquez, A. Rodriguez-Ramos, A. Carrio, P. Campoy
IEEE Access (2019), vol. 7, pp. 101283-101308
A deep reinforcement learning strategy for UAV autonomous landing on a moving platform
A. Rodriguez-Ramos, C. Sampedro, H. Bavle, P. De La Puente, P. Campoy
Journal of Intelligent & Robotic Systems (2019), vol. 93, no. 1-2, pp. 351-366
Fast and robust flight altitude estimation of multirotor UAVs in dynamic unstructured environments using 3D point cloud sensors
H. Bavle, J. L. Sanchez-Lopez, P. De la Puente, A. Rodriguez-Ramos, C. Sampedro, P. Campoy
Aerospace (2018), vol. 5, no. 3, 94
Image-based visual servoing controller for multirotor aerial robots using deep reinforcement learning
C. Sampedro, A. Rodriguez-Ramos, I. Gil, L. Mejias, P. Campoy
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
Laser-based reactive navigation for multirotor aerial robots using deep reinforcement learning
C. Sampedro, H. Bavle, A. Rodriguez-Ramos, P. de la Puente, P. Campoy
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
Stereo visual odometry and semantics based localization of aerial robots in indoor environments
H. Bavle, S. Manthe, P. de la Puente, A. Rodriguez-Ramos, C. Sampedro, P. Campoy
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
A review of deep learning methods and applications for unmanned aerial vehicles
A. Carrio, C. Sampedro, A. Rodriguez-Ramos, P. Campoy
Journal of Sensors (2017)
A fully-autonomous aerial robotic solution for the 2016 international micro air vehicle competition
C. Sampedro, H. Bavle, A. Rodríguez-Ramos, A. Carrio, R. A. S. Fernández, J. L. Sanchez-Lopez, P. Campoy
International Conference on Unmanned Aircraft Systems (ICUAS) (2017)
A flight altitude estimator for multirotor UAVs in dynamic and unstructured indoor environments
H. Bavle, J. L. Sanchez-Lopez, A. Rodriguez-Ramos, C. Sampedro, P. Campoy
International Conference on Unmanned Aircraft Systems (ICUAS) (2017)
Towards fully autonomous landing on moving platforms for rotary unmanned aerial vehicles
A. Rodriguez-Ramos, C. Sampedro, H. Bavle, Z. Milosevic, A. Garcia-Vaquero, P. Campoy
International Conference on Unmanned Aircraft Systems (ICUAS) (2017)
A flexible and dynamic mission planning architecture for uav swarm coordination
C. Sampedro, H. Bavle, J. L. Sanchez-Lopez, R. A. S. Fernández, A. Rodríguez-Ramos, M. Molina, P. Campoy
International Conference on Unmanned Aircraft Systems (ICUAS) (2016)
A monocular pose estimation strategy for uav autonomous navigation in gnss-denied environments
A. Rodríguez-Ramos, C. Sampedro, A. Carrio, H. Bavle, R. A. Fernández, Z. Milosevic, P. Campoy
International Micro Air Vehicle Conference and Flight Competition (IMAV) (2016)
Latest News
Stay updated with my latest research, speaking engagements, and contributions to the AI and robotics community.
Post-Doc Researcher at CVAR
Started position as Post-Doctoral Researcher at Computer Vision and Aerial Robotics (CVAR) lab, serving as Lead Researcher & Coordinator for all vision-related projects in the research group.
Contractor in Startups
Began consulting work for multiple startups in the AI and robotics space, providing expertise in computer vision and autonomous systems.
Researcher & AI Lead at Satis AI Startup
Joined Satis AI as Researcher and AI Lead, developing computer vision solutions for order accuracy in Quick-Service Restaurants.
Visiting Researcher at MIT
Visiting researcher at Massachusetts Institute of Technology (MIT), collaborating on vision-based multirotor following using synthetic learning techniques.
Stay Connected
Interested in collaboration, consulting, or just want to connect? Let's talk about AI and robotics.