Papers
12
Total Citations
112
H-Index
5
About
Alain Pruski’s research career is defined by pioneering work in autonomous robotics, with a particular focus on path planning, environment modeling, and sensor-based navigation. His most significant contribution is the development of **multivalue coding**, a memory-efficient method for representing a robot’s free configuration space. This technique, first introduced in the early 1990s, treats a grid as a Karnaugh map to encode rectangular free-space cells, dramatically reducing computational overhead. Pruski applied this core idea across multiple domains: from robust path planning for non-holonomic robots (20 citations) to multi-robot navigation among moving obstacles. His work on **grid modeling of robot cells** (29 citations) remains his most cited, underscoring its lasting impact on efficient spatial representation. Beyond coding, Pruski explored sensor-based approaches that avoid odometry errors, and even contributed to robot safety with a conductive-fiber surface contact sensor. With over a hundred total citations spanning three decades, Alain Pruski’s innovations in compact environment coding have provided foundational tools for autonomous navigation, influencing both theoretical robotics and practical implementation in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Grid modeling of robot cells: A memory-efficient approach29 citations · 1993
- 2Robust Path Planning for Non-Holonomic Robots20 citations · 1997
- 3Multivalue Coding: Application to the Autonomous Robots19 citations · 1991
- 4Multivalue coding: application to autonomous robots16 citations · 1992
- 5
- 6Multi-robot path planning among moving obstacles using multivalue codes5 citations · 2002
- 7Sensor information space for robust mobile robot path planning3 citations · 2000
- 8Grid Modelisation for Autonomous Robot3 citations · 1990
- 9Surface contact sensor for robot safety3 citations · 1986
- 10Distance computing in the multivalue number space3 citations · 2002