Daniel Chaparro-Arce

Papers

Total Citations

H-Index

About

Daniel Chaparro-Arce is a researcher at the forefront of agricultural robotics and vehicular control systems, with a focus on making semi-autonomous technology more accessible and efficient. His key research areas include real-time hardware-in-the-loop (HIL) emulation, path tracking strategies, and low-cost robotic platforms for off-road environments. His most-cited work, "Real-Time Hardware-in-the-Loop Emulation of Path Tracking in Low-Cost Agricultural Robots" (2023, 8 citations), introduces a novel approach to reducing the time and expense of early-stage experimentation in agricultural robotics. By enabling the evaluation of path tracking algorithms without requiring full-scale field tests, Chaparro-Arce’s contribution accelerates the development cycle for semi-autonomous agricultural vehicles, lowering barriers for researchers and small-scale farmers alike. His work directly addresses the challenge of validating control strategies in cost-sensitive settings, bridging the gap between simulation and real-world deployment. With a growing citation record, Chaparro-Arce is establishing himself as a practical innovator in affordable robotic systems, helping to democratize precision agriculture and autonomous navigation for off-road applications.