Papers
18
Total Citations
307
H-Index
8
About
Alberto Valero is a robotics researcher whose work spans path planning, human-robot interaction, and educational robotics. His most influential contribution is the development of novel fast marching (FM) methods for safer, more efficient mobile robot trajectories, detailed in his highly cited 2013 paper (89 citations). He has also advanced 3D feature-based mapping for rescue missions (28 citations), enabling mobile robots to navigate semi-structured environments like partially destroyed buildings. Valero’s research on adjustable-autonomy models (23 citations) explores how single operators can effectively manage multiple robots in exploration tasks, while his work on genetic algorithms (13 citations) tackles target distribution and sequencing in multi-robot operations. Beyond technical contributions, he is a pioneer in open-source robotics education, creating a 3D-printable mobile robotic platform (77 citations) and implementing a community-oriented project-based learning model at Universidad Carlos III de Madrid. His investigations into adaptive human-robot interaction and GPU-accelerated mapping further demonstrate his versatility. With over 280 total citations across his top papers, Valero’s work has significantly impacted both autonomous navigation and the democratization of robotics through accessible, educational platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2A New Open Source 3D-Printable Mobile Robotic Platform for Education77 citations · 2012
- 3
- 4
- 5
- 6Printable creativity in plastic valley UC3M9 citations · 2012
- 7Adaptative Human-Robot Interaction for mobile robots9 citations · 2008
- 8Give me the control, I can see the robot!9 citations · 2009
- 9Operator Performance in Exploration Robotics8 citations · 2011
- 10GPU-Mapping: Robotic Map Building with Graphical Multiprocessors8 citations · 2013