Papers
6
Total Citations
30
H-Index
3
About
Alfredo Palacios is a robotics researcher whose work focuses on the frontier of autonomous exploration, simultaneous localization and mapping (SLAM), and motion planning for mobile robots in unknown environments. His most significant contribution is the development of the **Random Exploration Graph (REG)**, a novel framework introduced in his 2017 paper that addresses the critical challenge of time-efficient exploration. By integrating exploration planning directly with SLAM—an approach he terms "SPLAM" (Simultaneous Planning, Localization and Mapping)—Palacios has advanced the efficiency and robustness of autonomous map-building, particularly for time-critical applications. His work extends beyond theoretical robotics into practical, high-impact domains: his 2018 study on applying 3D SLAM with unmanned aerial vehicles for risk management in the construction industry demonstrates the real-world utility of his methods. With over 30 total citations, Palacios’s research is building a foundation for more intelligent, autonomous systems capable of navigating and mapping complex, inaccessible environments without human intervention.
Research Focus
Key Achievements
Top Papers
- 1The random exploration graph for optimal exploration of unknown environments14 citations · 2017
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- 3A Topological SPLAM Approach for Robust Exploration3 citations · 2014
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