Osman Parlaktuna
Papers
38
Total Citations
604
H-Index
12
About
Osman Parlaktuna is a prominent robotics researcher whose work centers on autonomous mobile robots, multi-robot systems, and intelligent motion planning. His most significant contributions lie in the domain of multi-robot coverage path planning, where he has developed sophisticated algorithms that address real-world constraints such as energy limitations and dynamic environments. His 2013 paper on dynamic path planning for multirobot sensor-based coverage, which has garnered 126 citations, stands as his most influential work, introducing Generalized Voronoi diagram-based approaches for navigating complex, obstacle-rich workspaces. Alongside this, his pattern-based genetic algorithm research has advanced efficient coverage strategies that minimize task completion time across robot teams. Parlaktuna has also made meaningful contributions to cooperative robotics, including formation-based transportation systems using non-holonomic mobile robots and market-based task allocation frameworks that enable intelligent coordination among robot teams. Earlier in his career, he explored adaptive control of free-floating space robots, demonstrating versatility across terrestrial and space robotics domains. With over 400 cumulative citations across his top works, his research has meaningfully shaped how autonomous robot teams are coordinated, planned, and deployed in complex, real-world environments, making his publications essential reading for students in robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5Real-time tour construction for a mobile robot in a dynamic environment34 citations · 2007
- 6Adaptive control of free-floating space robots in Cartesian coordinates32 citations · 2004
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- 9Project-oriented task scheduling for mobile robot team17 citations · 2009
- 10Market-based task allocation by using assignment problem15 citations · 2010