Roman A. Manakov
Papers
4
Total Citations
28
H-Index
3
About
Roman A. Manakov is a robotics researcher whose work centers on continuum robots — flexible, snake-like manipulators with transformative applications in medicine and industry. His research tackles some of the most challenging computational and algorithmic problems in this rapidly evolving field, with a particular focus on inverse kinematics, motion planning, and shape sensing. Manakov's most influential contribution, "FABRIK-Based Inverse Kinematics For Multi-Section Continuum Robots" (2018, 13 citations), introduced an efficient alternative to traditional Jacobian-based methods, addressing longstanding issues of computational cost and singularity problems that had hindered real-world deployment. Building on this foundation, he extended his work to steerable concentric continuum robots (2019, 6 citations) and developed motion planning strategies enabling robots to navigate around obstacles using their flexible bodies (2019). More recently, Manakov contributed a visual algorithm for three-dimensional shape and position sensing in continuum robots (2021, 7 citations), addressing a critical need for accurate feedback in control and path planning systems. Together, his publications form a cohesive body of work that advances the practical usability of continuum robots in complex, real-world environments, making him a notable contributor to this specialized yet high-impact area of modern robotics.
Research Focus
Key Achievements
Top Papers
- 1FABRIK-Based Inverse Kinematics For Multi-Section Continuum Robots13 citations · 2018
- 2Visual shape and position sensing algorithm for a continuum robot7 citations · 2021
- 3Inverse Kinematics for Steerable Concentric Continuum Robots6 citations · 2019
- 4Motion Planning Algorithm for continuum Robots Bending over Obstacles2 citations · 2019