Alberto Viseras Ruiz
Papers
3
Total Citations
32
H-Index
3
About
Alberto Viseras Ruiz is a leading researcher in autonomous robotics, with a focus on multi-agent systems, indoor navigation, and sensor-based collision avoidance. His work bridges the gap between theoretical algorithms and practical robotic deployment, particularly in GPS-denied environments. One of his key contributions is the development of a SLAM-based indoor navigation system that enables autonomous robots to achieve high-resolution, complete coverage mapping using only magnetic field data—eliminating the need for pre-existing infrastructure. This work, cited 14 times, has opened new possibilities for pedestrian and robotic localization in complex indoor spaces. Viseras Ruiz also advanced aerial robot safety with a robust collision avoidance layer that uses acoustic sensors to suppress drift and prevent obstacles, a critical innovation for reliable drone flight. His research on efficient multi-agent exploration, leveraging Gaussian Processes, provides a scalable framework for multiple robots to cooperatively map unknown scalar or vector fields, such as chemical concentrations or magnetic field intensities. With a portfolio of highly cited papers, Viseras Ruiz’s contributions are foundational to the next generation of autonomous, collaborative robotic systems operating in real-world, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Efficient Multi-Agent Exploration with Gaussian Processes8 citations · 2014