Francisco J. Arjonilla
Papers
1
Total Citations
28
H-Index
1
About
Francisco J. Arjonilla is a researcher specializing in mobile robotics, with a particular focus on autonomous navigation in constrained agricultural environments. His work addresses the critical challenge of enabling non-holonomic robots—vehicles that cannot move sideways—to operate effectively in narrow pathways, a common scenario in precision farming and greenhouse applications. Arjonilla’s most cited paper (2021, 28 citations) provides a systematic evaluation of mapping and path planning strategies, comparing sensor modalities such as depth cameras and LiDAR to balance cost, robustness, and computational demands. This contribution is notable for bridging the gap between theoretical motion planning and practical deployment in real-world agricultural settings. By analyzing trade-offs in sensor selection and algorithm performance, Arjonilla’s research helps guide the design of more reliable and cost-effective autonomous systems. His work is particularly valuable for students and engineers developing field robots, offering clear benchmarks for navigation in space-constrained, unstructured terrains. Through this focused study, Arjonilla has established himself as a key voice in agricultural robotics, advancing the state of the art in autonomous navigation for specialty crops and narrow-row farming.
Research Focus
Key Achievements
Top Papers
- 1