Jolanda Coppola

University of Salerno

Papers

3

Total Citations

122

H-Index

3

About

Jolanda Coppola is a robotics researcher whose work focuses on the coordination and control of multi-arm robotic systems, with particular emphasis on task-oriented motion planning and decentralized architectures. Her most-cited paper, "Task-oriented motion planning for multi-arm robotic systems" (2012, 91 citations), presents foundational algorithms for enabling multiple robotic arms to collaborate effectively on complex tasks, addressing key challenges in industrial automation. She further advanced this field with her work on decentralized kinematic control architectures (2013, 21 citations), which allows individual robot arms to operate autonomously while maintaining cooperative behavior—a critical innovation for flexible manufacturing environments. Coppola also contributed to the aerospace industry through her research on automated synthesis of hybrid Petri net models for robotic cells (2014, 10 citations), demonstrating how formal modeling techniques can optimize production workflows in aircraft manufacturing. Her work bridges theoretical robotics with practical industrial applications, and her citation record reflects the lasting impact of her contributions to multi-robot coordination.

Research Focus

Key Achievements

3
H-Index
3
Papers
122
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Task-oriented motion planning for multi-arm robotic systems
91 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Salerno

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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