Guillem Vallicrosa
Papers
9
Total Citations
157
H-Index
6
About
Guillem Vallicrosa is a leading researcher in marine robotics, specializing in autonomous underwater vehicles (AUVs) and simultaneous localization and mapping (SLAM) for deep-sea environments. His work bridges the gap between advanced robotic perception and practical oceanographic applications, with a particular focus on enabling autonomous systems to navigate, map, and interact with complex underwater environments. Vallicrosa's most influential contribution is the development of H-SLAM, a Rao-Blackwellized particle filter SLAM framework using Hilbert Maps, which provides a probabilistic representation of space critical for autonomous navigation and manipulation. His research has had significant practical impact, as demonstrated by his most-cited paper (60 citations) on mobile robotic platforms for acoustic tracking of deep-sea demersal fishery resources, where he successfully tracked 33 tagged lobsters at 400-meter depth over three months. Vallicrosa has also pioneered on-line 3D path planning for close-proximity surveying with multiple AUVs, bathymetry-based SLAM using probabilistic ICP registration, and single beacon range-only SLAM for underwater vehicles. His contributions to the EU Marine Robots project and the development of wireless hybrid remotely operated vehicles (HROVs) with compressed visual feedback over acoustic links demonstrate his commitment to advancing the European marine robotics infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2H-SLAM: Rao-Blackwellized Particle Filter SLAM Using Hilbert Maps33 citations · 2018
- 3On-line 3D Path Planning for Close-proximity Surveying with AUVs★18 citations · 2015
- 4
- 5AUV Single Beacon Range-Only SLAM with a SOG Filter★8 citations · 2015
- 6
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- 8
- 9Semantic Mapping for Autonomous Subsea Intervention4 citations · 2021