Vladimir Tiganas
Papers
2
Total Citations
10
H-Index
2
About
Vladimir Tiganas is a researcher whose work sits at the intersection of multi-robot coordination and autonomous mobile robotics. His key research areas include multi-robot task allocation, visual servoing, and real-time control systems for nonholonomic platforms. Tiganas made a notable contribution to the field with his work on a multi-robot sample gathering problem, where he proposed both a theoretical solution and a real-time implementation for coordinating teams of mobile robots to collect and deposit randomly distributed samples. This work, cited 8 times, addresses a fundamental class of task allocation problems with practical applications in environmental monitoring and search-and-rescue operations. In the domain of visual servoing, Tiganas developed a real-time image-based control scheme for wheeled mobile robots that explicitly respects nonholonomic motion constraints, offering a distinctive advantage by eliminating the need for homography estimation or decomposition. While his citation counts reflect a focused, early-career impact, his contributions demonstrate a hands-on approach to bridging theoretical robotics with implementable, real-world solutions.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot based implementation for a sample gathering problem8 citations · 2013
- 2An image based visual servoing scheme for wheeled mobile robots2 citations · 2011