Papers
10
Total Citations
101
H-Index
6
About
Carlos Prados is a roboticist dedicated to pushing the boundaries of autonomous inspection in the world’s most challenging environments. His research focuses on modular climbing robots, omnidirectional platforms, and advanced localization algorithms for confined or feature-poor spaces. Prados’s major contributions include the design of ROMERIN, a novel modular climbing robot using active suction cups for infrastructure inspection, and a pioneering Graph SLAM algorithm built over point cloud matching that solves localization in tunnels where traditional methods fail. His work on behavior-based control architectures enables legged-and-climber robots to self-reconfigure after leg failures, a critical advance for resilience. With over 100 total citations, his most influential papers—such as the omnidirectional platform for particle accelerator surveillance (21 citations) and the Graph SLAM paper (17 citations)—demonstrate real-world impact. Prados has also developed MoCLORA, a modular software framework for bio-inspired robotic organisms, and recently tackled soft-terrain locomotion with quadruped robots in mud. His achievements reflect a career dedicated to making robots more adaptive, autonomous, and capable in extreme environments.
Research Focus
Key Achievements
Top Papers
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- 3Behavior-Based Control Architecture for Legged-and-Climber Robots14 citations · 2021
- 4ROMERIN: A new concept of a modular autonomous climbing robot14 citations · 2022
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- 8Torque-Based Control of a Bio-Inspired Modular Climbing Robot4 citations · 2023
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