Leire Zubia

ULMA Embedded Solutions

Papers

1

Total Citations

2

H-Index

1

About

Leire Zubia is a researcher focused on advancing robotics and automation for logistics and collaborative environments. Her work centers on the development of flexible, robotized systems for order preparation in distribution centers, particularly addressing the challenges of unitary picking—a critical yet labor-intensive task in e-commerce and warehousing. Zubia’s key contribution lies in designing robotic solutions that operate safely and efficiently alongside human workers, emphasizing human-robot collaboration to enhance productivity without compromising safety. Her notable paper, "RSAII: Flexible Robotized Unitary Picking in Collaborative Environments for Order Preparation in Distribution Centers" (2020), introduces a system that integrates perception, grasping, and motion planning to handle diverse items in dynamic settings. While her citation count is currently modest, her research addresses a pressing industrial need, positioning her work as foundational for future innovations in logistics automation. Zubia’s achievements reflect a commitment to bridging the gap between cutting-edge robotics and real-world applications, making her a promising voice in the field of collaborative robotics and smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
RSAII: Flexible Robotized Unitary Picking in Collaborative Environments for Order Preparation in Distribution Centers
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: ULMA Embedded Solutions

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago