Papers

17

Total Citations

2,490

H-Index

13

About

Enric Galceran is a prominent robotics researcher whose work spans autonomous motion planning, coverage path planning, and unmanned systems navigation. He is perhaps best known for his landmark 2013 survey on coverage path planning for robotics, which has amassed over 1,500 citations and stands as one of the field's most comprehensive reference works, cementing his authority on strategies for guiding robots to systematically traverse entire regions of interest. His research extends into marine robotics, where he developed specialized coverage and inspection methods for autonomous surface and underwater vehicles operating over complex seabed terrain. Galceran has made significant contributions to UAV trajectory optimization, presenting real-time, continuous-time planning methods that enable safe operation in partially unknown environments — work that garnered nearly 250 citations. His investigations into informative path planning for environmental monitoring address the challenge of maximizing data collection across large three-dimensional spaces. Galceran has also tackled human-robot interaction through data-driven, socially compliant motion planning using maximum entropy models, pushing robots toward more predictable and cooperative behavior in shared workspaces. Collectively, his research portfolio reflects a deep commitment to making autonomous robots more capable, safe, and adaptable across diverse real-world environments.

Research Focus

Key Achievements

13
H-Index
17
Papers
2,490
Total Citations
146
Avg Citations/Paper
🏆 Most Cited Paper
A survey on coverage path planning for robotics
1,512 citations · 2013
📈 Most Prolific Year: 2016 (6 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: University of Girona, ETH Zurich, University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago