Ondrej Linda
Papers
8
Total Citations
291
H-Index
6
About
Ondrej Linda is a leading researcher in intelligent control systems, with a primary focus on Type-2 Fuzzy Logic Controllers (T2 FLCs) and their applications in robotics. His seminal work on uncertainty-robust design of interval type-2 fuzzy logic controllers for delta parallel robots has garnered 126 citations, establishing a foundational framework for handling dynamic uncertainties in precision control. Linda’s research demonstrates how T2 FLCs outperform traditional Type-1 controllers in noisy, variable environments—a key insight that has advanced both theoretical fuzzy logic and practical robotics. He has also made significant contributions to haptic teleoperation and multirobot systems, including a self-organizing fuzzy system for mobile robot control using sparse sonar data (65 citations) and fuzzy force-feedback augmentation for manual control of multirobot teams (44 citations). His comparative analyses of Type-1 and Type-2 fuzzy control in mobile robotics (32 citations) have clarified the conditions under which T2 FLCs provide superior resilience. Linda’s work bridges the gap between theoretical uncertainty modeling and real-world robotic applications, making him a pivotal figure in the development of robust, intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Fuzzy Force-Feedback Augmentation for Manual Control of Multirobot System44 citations · 2010
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- 6Fuzzy manual control of multi-robot system with built-in swarm behavior8 citations · 2009
- 7SVM-inspired dynamic safe navigation using convex hull construction2 citations · 2009
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