Guillermo J. Laguna
Papers
3
Total Citations
23
H-Index
3
About
Guillermo J. Laguna is a roboticist specializing in autonomous navigation, motion planning, and exploration for non-holonomic mobile robots. His research focuses on developing mathematically rigorous strategies for differential drive disc robots to operate in unknown, polygonal environments. Laguna’s most-cited work (2014, 12 citations) introduces a landmark-driven exploration algorithm that guarantees complete coverage of simply connected spaces, addressing the fundamental challenge of mapping unknown terrains with minimal sensors. He extends this with an optimal navigation framework (2016, 6 citations) that models robot-environment interaction as a game, enabling collision-free path planning in cluttered polygonal domains. His 2019 paper (5 citations) further advances the field by combining automaton-based decision-making with feedback controllers, allowing robust transitions between exploration and navigation tasks. Though his citation counts reflect a focused, early-career impact, Laguna’s contributions are notable for their theoretical depth—bridging computational geometry, control theory, and robotics. His work is particularly relevant for researchers designing autonomous systems for search-and-rescue, warehouse logistics, or planetary rovers, where reliable exploration in unknown, obstacle-rich environments is critical.
Research Focus
Key Achievements
Top Papers
- 1Exploration of an unknown environment with a differential drive disc robot12 citations · 2014
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