22 citations · 22 across the 6 of their papers we have counts for
6 papers
Visual-SLAM for the detection of hidden tomatoes in greenhouses by Hierarchical Localization and GLOMAP for robotized harvesting
Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco +1
Advanced crop monitoring inside greenhouses is becoming one of the primary objectives of research centers. High-performance sensors, such as LiDAR or stereo cameras, have tradition…
An Adaptive Control Architecture for Slope and Terrain Compensation in Autonomous Navigation in Mediterranean Greenhouses
Fernando Cañadas-Aránega, Dirk Wollherr, José L. Guzmán +2
The ability to move stably over terrain with varying slopes and textures is essential for mobile agricultural robots operating in complex and dynamic environments such as greenhous…
Integrated cloud-based architecture for robot-robot and human-robot collaboration using ROS 2--MQTT in Mediterranean Greenhouses
F. Cañadas-Aránega, M. Muñoz, J. C. Moreno +1
The imperative to develop more sustainable agriculture demands a transition from isolated automation toward the deployment of multi-robot systems (MRS) in agrifood environments. Ho…
GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds
Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco
Greenhouse agriculture in the Mediterranean region faces significant automation challenges due to its unique structural and environmental constraints. These environments are charac…
A ROS2 Benchmarking Framework for Hierarchical Control Strategies in Mobile Robots for Mediterranean Greenhouses
Fernando Cañadas-Aránega, Francisco J. Mañas-Álvarez, José L- Guzmán +2
Mobile robots operating in agroindustrial environments, such as Mediterranean greenhouses, are subject to challenging conditions, including uneven terrain, variable friction, paylo…
The GREENBOT dataset: Multimodal mobile robotic dataset for a typical Mediterranean greenhouse
Fernando Cañadas-Aránega, Jose Luis Blanco-Claraco, Jose Carlos Moreno +1
This paper introduces an innovative dataset specifically crafted for challenging agricultural settings (a greenhouse), where achieving precise localization is of paramount importan…