Milos Manic
Papers
32
Total Citations
669
H-Index
13
About
Milos Manic is a prominent researcher whose work spans intelligent control systems, parallel robotics, multi-robot systems, and human-robot interaction. His research has made significant contributions to the application of fuzzy logic in complex, uncertain environments, most notably through his widely cited 2011 study on interval Type-2 Fuzzy Logic Controllers for delta parallel robots (126 citations), which provided a rigorous framework for evaluating the oft-claimed superiority of T2 FLCs over their Type-1 counterparts. Manic has also advanced the field of swarm robotics, demonstrating how particle swarm optimization can enable multi-robot teams to effectively navigate noisy wireless environments (80 citations) and adapt dynamically within mobile ad hoc networks. His contributions to haptic teleoperation, including self-organizing fuzzy systems for remote mobile robot control (65 citations), have pushed the boundaries of human-machine interaction in high-stakes industrial settings. In parallel robotics, his evolutionary design methodologies and kinematic analyses for medical and rehabilitation platforms reflect a commitment to translating theoretical innovation into real-world clinical applications. With hundreds of citations across a decade of research, Manic stands as an influential voice bridging intelligent systems, robotics, and human-centered engineering.
Research Focus
Key Achievements
Top Papers
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- 4Fuzzy Force-Feedback Augmentation for Manual Control of Multirobot System44 citations · 2010
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- 6Performance analysis of 3 DOF Delta parallel robot38 citations · 2011
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