Ferran Gebelli Guinjoan

Papers

1

Total Citations

10

H-Index

1

About

Ferran Gebelli Guinjoan is a leading researcher in autonomous ground navigation, with a focus on enabling robots to operate safely and efficiently in highly constrained, cluttered environments. His work addresses the critical challenge of real-world navigation where space is tight and obstacles are unpredictable. Gebelli Guinjoan made a major contribution by co-organizing and analyzing the second Benchmark Autonomous Robot Navigation (BARN) Challenge at ICRA 2023, a competition that rigorously tests state-of-the-art navigation systems in narrow corridors and dense obstacle courses. His paper on this challenge, which has already garnered 10 citations, distills key lessons for the field, highlighting the gap between simulation and real-world performance. Through this work, he has helped establish standardized benchmarks that drive progress in autonomous mobility. Gebelli Guinjoan’s research is vital for advancing applications in warehouse logistics, search-and-rescue, and domestic service robots, where precise, collision-free movement is essential. His contributions are shaping the next generation of robust, real-world navigation algorithms.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago