Elena Stracca

Piaggio (Italy), University of Pisa

Papers

2

Total Citations

3

H-Index

1

About

Elena Stracca is a leading researcher in collaborative robotics and autonomous navigation, with a focus on risk-aware motion planning for human-robot interaction. Her work addresses critical challenges in industrial and intralogistic environments, where safety and efficiency must be balanced. Her most cited paper, "Plan it Safe: A Risk-Driven Motion Planning Framework for Collaborative Robots" (2024), introduces a novel trajectory planning method that integrates risk management principles—considering operator safety, performance degradation, and internal robot issues—to enhance both safety and operational performance. Building on this, her 2025 paper "DARKO-Nav: Hierarchical Risk and Context-Aware Robot Navigation in Complex Intralogistic Environments" extends these concepts to navigation, proposing a hierarchical framework that adapts robot behavior to dynamic contexts. Though early in her career, with citations currently at 2 and 1 respectively, Stracca’s work is pioneering a paradigm shift from purely reactive safety to proactive, risk-driven decision-making. Her research is particularly notable for its practical applicability in real-world settings, such as warehouses and manufacturing floors, where robots must operate alongside humans. Stracca’s contributions are poised to influence the next generation of collaborative systems, making her a rising voice in safe and intelligent robotics.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Plan it Safe: A Risk-Driven Motion Planning Framework for Collaborative Robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Piaggio (Italy), University of Pisa

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago