L. Yu. Vorochaeva

About

L. Yu. Vorochaeva is a robotics researcher whose work spans locomotion mechanics, pipeline robotics, and bio-inspired mobile systems. Her research primarily investigates the motion dynamics and control of unconventional robotic platforms, with particular emphasis on multi-link crawling robots, in-pipe walking robots, and friction-driven locomotion systems. Vorochaeva has made significant contributions to understanding how robots can navigate challenging environments using controlled dry friction forces. Her mathematical modeling of three-link and five-link crawling robots — demonstrating how periodic friction manipulation enables structured motion across rough surfaces and obstacle-laden terrain — has drawn sustained scholarly attention, with these works accumulating over 18 and 10 citations respectively. Her 2017 work on trajectory generation for six-legged in-pipe robots, her most cited paper with 20 citations, addresses the complex geometric challenge of navigating spatially curved pipelines, a practically valuable contribution to industrial inspection robotics. Beyond ground-based locomotion, her research extends to flying robots, evidenced by her ornithopter motion study, and to emerging tensegrity structures, where she applied machine learning for form-finding optimization. Her nested quadratic programming-based controller for pipeline robots further demonstrates her versatility across both mechanical modeling and control system design. Vorochaeva's body of work offers foundational tools for researchers developing robots intended for confined, unstructured, or dynamically complex environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Trajectory generation for a walking in-pipe robot moving through spatially curved pipes

   20 citations · 2017
2. 2
   Simulation of motion of a three-link robot with controlled friction forces on a horizontal rough surface

   18 citations · 2015
3. 3
   Nested quadratic programming-based controller for pipeline robots

   14 citations · 2017
4. 4
   Simulation of the motion of a five-link crawling robot with controlled friction on a surface having obstacles

   10 citations · 2017
5. 5
   Machine Learning Approach for Tensegrity Form Finding: Feature Extraction Problem

   10 citations · 2020
6. 6
   Movement Simulation of a Five-Link Crawling Robot with Controlled Friction Forces

   8 citations · 2017
7. 7
   Pace pattern generation for an pipeline robot

   6 citations · 2017
8. 8
   An Investigation of Motion of a Crawling Robot with Supports with Controllable Friction

   6 citations · 2019
9. 9
   Theoretical and experimental studies of transverse dimensional gait of five-link mobile robot on rough surface

   6 citations · 2015
10. 10
    Motion Study of the Ornithopter with Periodic Wing Oscillations

    5 citations · 2018

Key Collaborators

Contact & Links