About

Carlos Parra is a leading researcher in mobile robotics, with a primary focus on complete coverage path planning, humanitarian demining, and multi-agent systems. His most influential contribution is the Backtracking Spiral Algorithm (BSA), a pioneering coverage strategy for mobile robots that ensures complete area coverage through spiral filling paths and a backtracking mechanism. This work, published in 2006, has garnered 157 citations and remains a cornerstone reference in the field. Parra’s research extends to critical real-world applications, notably the development of robotic systems for landmine detection. He has designed modular snake robots for de-mining tasks and led the URSULA project, a humanitarian demining system aimed at addressing Colombia’s landmine crisis. His work on cooperative multi-agent perception systems for improvised explosive device detection, featuring AI-driven autonomous agents, has also been highly cited (28 citations). Additionally, Parra has explored innovative platforms such as bat-like morphing-wing air vehicles and visual navigation in natural environments. With a career spanning over two decades, his research consistently bridges theoretical algorithms with life-saving applications, demonstrating profound impact in both academic and humanitarian contexts.

Research Focus

Key Achievements

11
H-Index
22
Papers
449
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
BSA: A Complete Coverage Algorithm
157 citations · 2006
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Pontificia Universidad Javeriana, Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes

Top Papers

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    BSA: a coverage algorithm
    29 citations · 2004
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago