Papers

2

Total Citations

11

H-Index

1

About

Udo Schilcher is a leading researcher in distributed coordination systems, specializing in the emerging field of swarmalators—systems that combine swarming behavior with synchronization dynamics. His work bridges theoretical models and real-world robotic implementations, addressing critical challenges in deploying these systems on mobile platforms. His most influential paper, "Swarmalators with Stochastic Coupling and Memory" (2021, 10 citations), explores how mutual coupling between swarming and synchronization generates complex spatio-temporal patterns, while tackling practical issues like temporal discretization for physical robots. Schilcher's recent work, "Swarmalators with Discrete-Time Coupling: Which Step Size to Choose?" (2025), provides essential guidance for engineers by analyzing how numerical integration step sizes affect convergence and stability in robotic implementations. His research has significant implications for multi-robot systems, sensor networks, and collective intelligence applications. By systematically addressing the gap between elegant mathematical models and messy real-world constraints, Schilcher is helping pave the way for practical swarm robotics, where groups of simple agents can achieve sophisticated coordinated behaviors through local interactions alone.

Research Focus

Key Achievements

1
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Swarmalators with Stochastic Coupling and Memory
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Klagenfurt, Institute for Interdisciplinary Studies of Austrian Universities

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago