Ugo Erra
Papers
6
Total Citations
135
H-Index
4
About
Ugo Erra is a computer scientist whose research spans high-performance computing, artificial intelligence, and sustainable technology, with impactful applications in precision agriculture and industrial automation. His most cited work, a 2024 review on unmanned aerial vehicles for precision agriculture (98 citations), establishes him as a key voice in digital agronomic management, where he explores how sensor data and automation optimize crop productivity while minimizing environmental impact. Erra has also made significant contributions to Industry 4.0, developing vision-enhanced systems for automotive manufacturing—such as a peg-in-hole assembly method using semantic image segmentation and object detection (12 citations)—that integrate deep learning into industrial robotics. A pioneer in GPU-accelerated computing, his work on multi-agent path planning (10 citations) enables real-time navigation for thousands of agents using the A* algorithm on grid maps, with applications from robotics to video games. Erra is equally committed to green computing, demonstrating how GPU-based migration can reduce the carbon footprint of intensive computation systems (8 citations). His research uniquely bridges algorithmic efficiency, practical automation, and environmental sustainability, making him a notable figure in modern computational science.
Research Focus
Key Achievements
Top Papers
- 1Unmanned Aerial Vehicle for Precision Agriculture: A Review98 citations · 2024
- 2
- 3GPU Accelerated Multi-agent Path Planning Based on Grid Space Decomposition10 citations · 2012
- 4Using the GPU to Green an Intensive and Massive Computation System8 citations · 2013
- 5Exploiting GPUs for multi-agent path planning on grid maps4 citations · 2012
- 6