Dmitrii Yu. Kolpashchikov

About

Dmitrii Yu. Kolpashchikov is an emerging robotics researcher whose work sits at the intersection of medical robotics, continuum robot kinematics, and intelligent control systems. His research focuses primarily on solving fundamental challenges in continuum robot mechanics — flexible, biologically inspired manipulators that deform elastically rather than relying on rigid joints — making them highly applicable in surgical and industrial environments with complex geometries. Kolpashchikov's most significant contributions center on inverse kinematics, a critical problem in enabling precise robot control. His development and refinement of FABRIK-based algorithms, including the notable FABRIKx framework addressing variable curvature assumptions, have advanced the field beyond computationally expensive Jacobian methods, attracting over 28 citations across those works alone. His broader survey on robotics in healthcare (31 citations) demonstrates his ability to synthesize the field's trajectory for wider audiences, cementing his visibility among students and practitioners alike. Beyond kinematics, his more recent investigations into catheter segmentation using semi-synthetic data and visual shape-sensing algorithms reflect a growing commitment to data-driven and perception-based approaches in medical robotics. With over 89 cumulative citations across a relatively concise publication record, Kolpashchikov represents a focused and productive voice in next-generation flexible robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotics in Healthcare

   31 citations · 2021
2. 2
   FABRIKx: Tackling the Inverse Kinematics Problem of Continuum Robots with Variable Curvature

   15 citations · 2022
3. 3
   FABRIK-Based Inverse Kinematics For Multi-Section Continuum Robots

   13 citations · 2018
4. 4
   Use of semi-synthetic data for catheter segmentation improvement

   8 citations · 2023
5. 5
   Visual shape and position sensing algorithm for a continuum robot

   7 citations · 2021
6. 6
   Inverse Kinematics for Steerable Concentric Continuum Robots

   6 citations · 2019
7. 7
   Collision Avoidance for Continuum Robot Using FABRIK Algorithm

   3 citations · 2019
8. 8
   Inverse Kinematics for Multisection Continuum Robots with Variable Section Length

   2 citations · 2023
9. 9
   Comparison of Inverse Kinematics Algorithms for Multi-Section Continuum Robots

   2 citations · 2021
10. 10
    Motion Planning Algorithm for continuum Robots Bending over Obstacles

    2 citations · 2019

Key Collaborators

Contact & Links