Enea Scioni

University of Ferrara, KU Leuven

Papers

9

Total Citations

45

H-Index

4

About

Enea Scioni is a roboticist whose research bridges the gap between high-level symbolic planning and low-level robot control, with a particular focus on constraint-based motion specification and execution. His most influential work, "Introducing Geometric Constraint Expressions Into Robot Constrained Motion Specification and Control" (13 citations), extends classical task frame approaches to enable more flexible, multi-frame constraint definitions for robotic manipulation. Scioni's key contribution lies in developing formal models and schedulers that translate discrete symbolic plans into executable, optimization-based motion control, as demonstrated in his highly cited 2015 paper (10 citations) on bridging planning and control. He introduced the concept of "preview coordination" for online scheduling of mobile manipulation tasks, and developed hierarchical hypergraph models (NPC4) for knowledge-centric robot systems. His work on haptic coupling between KUKA Light-Weight Robots and PR2 arms showcases his practical systems integration skills. Scioni's research has accumulated over 45 citations across his publications, with his constraint-based programming approach (FINROP project) offering intuitive, runtime-adaptive robot programming methods that make complex robotic tasks more accessible and robust to real-world disturbances.

Research Focus

Key Achievements

4
H-Index
9
Papers
45
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Introducing Geometric Constraint Expressions Into Robot Constrained Motion Specification and Control
13 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Ferrara, KU Leuven

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago