Luis Angel Ponce Pacheco
Wageningen University & Research, Centre for BioSystems Genomics
Papers
2
Total Citations
13
H-Index
1
About
Luis Angel Ponce Pacheco is a robotics researcher advancing intelligent automation for agriculture and food processing. His work focuses on developing perception and planning systems that enable robots to handle complex, unstructured environments—from dairy barns to cluttered food bins. Ponce Pacheco’s 2024 paper on path planning for manure-robot cleaners uses grid-based reinforcement learning to dynamically navigate around cows, improving both cleaning efficiency and animal welfare. With 12 citations, this work addresses labor shortages in dairy farming by replacing fixed-route cleaners with adaptive robots. In a 2025 study, he tackles the difficult problem of grasping deformable poultry legs in cluttered bins, combining deep learning with geometric feature extraction to achieve real-time six-degree-of-freedom grasping. This contribution is critical for automating pick-and-place tasks in the food industry, where traditional centroid-based methods fail. Ponce Pacheco’s research sits at the intersection of robotics, reinforcement learning, and agricultural engineering, demonstrating how intelligent systems can solve real-world challenges in food production and animal husbandry.
Research Focus
Key Achievements
Top Papers
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- 2