Franziska Ochsenfarth

Technical University of Munich

Papers

1

Total Citations

1

H-Index

1

About

Franziska Ochsenfarth is a robotics researcher whose work centers on multi-robot coordination, motion planning, and path quality optimization. Her primary contribution lies in advancing the understanding of trade-offs between centralized and decoupled planning approaches for dual-arm robotic systems, with a particular focus on ensuring smooth, collision-free trajectories. Her most-cited paper, "Centralized vs. Decoupled Dual-arm Planning Taking into Account Path Quality" (2024), introduces a decoupled planning method that guarantees $$\mathcal{C}^2$$ continuity—a critical factor for reducing mechanical wear and improving task precision in industrial and collaborative robotics. By systematically comparing these planning paradigms, Ochsenfarth provides a framework for selecting the optimal strategy based on path quality metrics, offering practical guidance for real-world robotic applications. Though early in her career, her work has already garnered attention, with citations reflecting its relevance to researchers tackling the challenges of coordinated manipulation. Her research bridges theoretical planning algorithms and practical implementation, making her a rising voice in the field of robotic motion planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Centralized vs. Decoupled Dual-arm Planning Taking into Account Path Quality
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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