Michalina Pacholska

École Polytechnique Fédérale de Lausanne

Papers

1

Total Citations

20

H-Index

1

About

Michalina Pacholska is a researcher whose work bridges theoretical rigor and practical robotics, with a primary focus on localization, navigation, and sensor fusion. Her most-cited contribution, "Relax and Recover: Guaranteed Range-Only Continuous Localization" (2020, 20 citations), tackles a fundamental challenge in range-only localization—a technique critical for underwater navigation, drone tracking, and indoor positioning. While static lateration is well understood, Pacholska addresses the underexplored problem of localizing a moving agent using only distance measurements, introducing a novel relaxation-based framework that guarantees recovery of the trajectory. This work provides both theoretical guarantees and practical algorithms, marking a significant step forward for continuous localization in GPS-denied environments. Her research is notable for its emphasis on provable correctness, making her contributions valuable to both the robotics and control theory communities. Pacholska’s work stands out for its ability to combine mathematical depth with real-world applicability, offering robust solutions to problems where traditional methods fail.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Relax and Recover: Guaranteed Range-Only Continuous Localization
20 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago