Manuel G. Forero
Papers
3
Total Citations
19
H-Index
3
About
Manuel G. Forero is a robotics and automation researcher whose work bridges precision agriculture, mechatronics, and computer vision. His primary research areas include cable-driven parallel robots for agricultural automation, sensor-based 3D plant modeling, and vision-based calibration systems. Forero’s most notable contribution is the **AgroCableBot**, a reconfigurable cable-driven parallel robot designed for greenhouse and urban farming automation. This suspended, five-degree-of-freedom system automates repetitive crop-production tasks, offering a scalable solution for controlled-environment agriculture. The paper introducing AgroCableBot has garnered **13 citations** since 2023, reflecting growing interest in robotic solutions for sustainable food production. Forero also developed an **automatic vision-based calibration system** for planar cable-driven robots (2019) and a **simulation tool for 3D plant modeling** using 2D LiDAR data (2020). The latter enables morphological feature extraction and phenotypic analysis from point clouds, advancing non-destructive plant monitoring. His work is particularly impactful for researchers exploring precision agriculture, robotic manipulation in constrained spaces, and sensor fusion for biological applications. Forero’s contributions demonstrate a clear trajectory from foundational calibration methods to applied agricultural robotics, positioning him as a key figure in the integration of robotics with modern farming challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3