Nikita V. Laptev
National Research Tomsk State University, Tomsk Polytechnic University
Papers
7
Total Citations
44
H-Index
5
About
Nikita V. Laptev is a robotics researcher whose work spans continuum robotics, inverse kinematics, motion planning, and medical device imaging. His most influential contribution, "FABRIK-Based Inverse Kinematics For Multi-Section Continuum Robots" (2018, 13 citations), introduced a computationally efficient alternative to Jacobian-based methods, addressing longstanding challenges of singularity and high processing cost in flexible robotic manipulators. This work laid a foundation for subsequent investigations, including solutions for steerable concentric continuum robots and motion planning algorithms enabling robots to navigate complex, obstacle-rich environments — research areas with clear applications in minimally invasive surgery and industrial automation. Laptev has also made notable contributions to robot sensing and perception. His 2021 algorithm for visual shape and position sensing in continuum robots (7 citations) tackles the critical challenge of real-time three-dimensional tracking necessary for reliable control. More recently, his 2023 study on semi-synthetic data for catheter segmentation (8 citations) demonstrates a growing interest in data-driven approaches to medical imaging, offering practical solutions to the scarcity of labeled clinical datasets. Complementing this breadth, his investigations into industrial manipulator precision and collaborative robot control software further illustrate a researcher committed to bridging theoretical robotics with real-world engineering applications.
Research Focus
Key Achievements
Top Papers
- 1FABRIK-Based Inverse Kinematics For Multi-Section Continuum Robots13 citations · 2018
- 2Use of semi-synthetic data for catheter segmentation improvement8 citations · 2023
- 3Visual shape and position sensing algorithm for a continuum robot7 citations · 2021
- 4Inverse Kinematics for Steerable Concentric Continuum Robots6 citations · 2019
- 5
- 6Motion Planning Algorithm for continuum Robots Bending over Obstacles2 citations · 2019
- 7