Papers
12
Total Citations
110
H-Index
6
About
Jean Laneurit is a robotics researcher whose work sits at the intersection of autonomous mobile systems, agricultural automation, and sensor-based localization. His research has made meaningful contributions to how robots perceive, navigate, and coordinate in challenging real-world environments, with a particular focus on outdoor and agricultural settings. Laneurit's most influential work addresses cooperative robot localization using Ultra-Wide-Band (UWB) sensors, demonstrating how low-cost ranging technology can enable precise positioning for mobile robots even in GPS-degraded environments — a paper that has garnered 21 citations. He has extended this sensing paradigm to human-robot interaction, developing observer-based approaches for autonomous human tracking to support workers in outdoor tasks such as harvesting. His agricultural robotics portfolio is especially notable, spanning multi-robot trajectory planning for field coverage, smart spraying coordination using radio beacons, and the LambdAgrIoT scheduling architecture for autonomous farm robots. Beyond localization, Laneurit has investigated adaptive control strategies, including reinforcement learning for velocity management on rough terrain and CMA-ES-based online gain tuning for off-road path tracking. With over 100 cumulative citations across a focused body of work, his research offers practical and theoretically grounded solutions to the growing demands of precision agriculture and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Range-Only Based Cooperative Localization for Mobile Robots21 citations · 2018
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- 8Robot Localization and Navigation with a Ground-Based Microwave Radar6 citations · 2019
- 9Multi-robots trajectory planning for farm field coverage5 citations · 2020
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