Mirko Usuelli

Politecnico di Milano

Papers

3

Total Citations

8

H-Index

2

About

Mirko Usuelli is a researcher at the forefront of robotics and computer vision, with a focus on autonomous navigation and agricultural perception. His work spans two critical domains: enabling robots to reliably understand their environment and to operate effectively in unstructured agricultural settings. In the area of autonomous navigation, Usuelli is the lead author of "RadarLCD," a pioneering pipeline for radar-based loop closure detection, a fundamental task for correcting drift in long-term robot localization. This work addresses a key challenge in robotics by leveraging radar’s robustness to adverse weather and lighting conditions. In agricultural robotics, Usuelli has made significant contributions to field perception, including the detection and mapping of crop weeds and litter, a task essential for precision farming. His most innovative work, "Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning," combines active camera control with zero-shot learning to allow robots to recognize novel objects without prior training. With each of his key papers accumulating 2–3 citations in their first year, Usuelli’s research is establishing a strong foundation for more intelligent, adaptable, and practical robotic systems in both industrial and agricultural contexts.

Research Focus

Key Achievements

2
H-Index
3
Papers
8
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
3 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Politecnico di Milano

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago