Vitor Akihiro Hisano Higuti
Universidade de São Paulo, University of Illinois Urbana-Champaign, CU Aerospace (United States)
Papers
10
Total Citations
251
H-Index
7
About
Vitor Akihiro Hisano Higuti is a leading researcher in autonomous navigation for agricultural robotics, with a focus on enabling small, under-canopy robots to operate reliably in challenging field environments. His major contributions center on developing robust navigation systems that function without GPS, which is often unreliable under dense plant canopies. Higuti pioneered the use of 2D LiDAR sensors for under-canopy localization and row following, as demonstrated in his highly cited 2018 paper (99 citations) on LiDAR-based autonomous navigation. He further advanced the field with WayFAST (2022, 62 citations), a self-supervised learning approach that predicts traversable paths using RGB and depth data, allowing robots to adapt to varying terrain and traction conditions. His work on multi-sensor fusion for robust row following (2022, 26 citations) and reactive navigation using H∞ control (2019, 22 citations) has been instrumental in making compact agricultural robots practical for real-world farms. Higuti’s research has accumulated over 250 citations, with his CropNav framework (2023) representing a comprehensive solution for autonomous navigation in real agricultural settings. His achievements have directly addressed the critical challenge of feeding a growing global population through more efficient, automated crop scouting and management.
Research Focus
Key Achievements
Top Papers
- 1Under canopy light detection and ranging‐based autonomous navigation99 citations · 2018
- 2WayFAST: Navigation With Predictive Traversability in the Field62 citations · 2022
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- 6CropNav: a Framework for Autonomous Navigation in Real Farms12 citations · 2023
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- 8Under-Canopy Navigation for an Agricultural Rover Based on Image Data5 citations · 2023
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