Andrey V. Savkin

UNSW Sydney

Papers

106

Total Citations

3,527

H-Index

32

About

Andrey V. Savkin is a prominent researcher at the intersection of robotics, autonomous navigation, and networked control systems, whose work has fundamentally shaped how mobile robots perceive and traverse complex environments. His most celebrated contribution — a comprehensive 2014 survey on collision-free navigation algorithms (466 citations) — remains an essential reference for roboticists worldwide, synthesizing rigorous mathematical approaches to obstacle avoidance in cluttered, dynamic settings. Savkin has pioneered biologically inspired navigation strategies for unicycle-like robots, demonstrating elegant, provably safe solutions for avoiding both static and moving obstacles, as evidenced by multiple highly cited publications from 2012 to 2014. His research extends into wireless sensor network-guided navigation for micro flying robots and localization within delay-tolerant networks, reflecting a keen interest in practical deployment within industrial IoT environments. Equally notable is his foundational work on detectability and output feedback stabilizability of nonlinear networked control systems, bridging rigorous control theory with real-world communication constraints. With over 1,600 citations across his top works alone, Savkin's research offers students and practitioners a rich body of theoretically grounded yet application-driven insights into autonomous robotic systems.

Research Focus

Key Achievements

32
H-Index
106
Papers
3,527
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
466 citations · 2014
📈 Most Prolific Year: 2017 (14 Papers)
🤝 Key Collaborators: 59
🏛 Institutions: UNSW Sydney

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 1 days ago