Papers

2

Total Citations

13

H-Index

2

About

Dominik Budday is a researcher whose work bridges computational biophysics and robotics, with a focus on understanding complex systems through modeling and simulation. His key research areas include protein dynamics, conformational transitions, and the biomechanics of locomotion. Budday’s major contribution lies in developing frustration-guided motion planning algorithms that reveal how proteins transition between conformational substates—a critical process for biological function. This work, published in 2017, has garnered 8 citations and offers a novel computational approach to exploring the collective motions that underpin protein activity, leveraging experimental structural data to enhance predictive modeling. In robotics, Budday has advanced the understanding of walking dynamics through a 3D SLIP (Spring-Loaded Inverted Pendulum) model, demonstrating how lateral leg placement control can improve stability and robustness in humanoid robots. His 2012 paper on this topic, with 5 citations, addresses the challenge of extending 2D self-stabilizing effects to three dimensions, a key step toward more agile and resilient robotic systems. Budday’s interdisciplinary work showcases a talent for applying computational tools to unravel fundamental mechanisms in both biology and engineering, making him a notable contributor to these fields.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Frustration-guided motion planning reveals conformational transitions in proteins
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Karlsruhe Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago