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.
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 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
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 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)
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)
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.