Papers
22
Total Citations
186
H-Index
8
About
Denis Chikurtev is a robotics researcher whose work spans mobile robot navigation, human-robot interaction, and assistive service robotics for elderly and disabled individuals. He has made significant contributions to the field of autonomous mobile systems, particularly through his work on simulation and navigation frameworks using ROS and Gazebo, which has garnered 43 citations and established him as a notable voice in mobile robotics methodology. His research on indoor localization combining LIDAR and GPS sensors further demonstrates his technical depth in solving real-world navigation challenges. A defining thread throughout Chikurtev's career is his commitment to socially impactful robotics. His ROBCO robot series — spanning ROBCO 12, 17, 18, and 19 — represents a sustained effort to develop cost-effective, user-friendly service robots capable of assisting people with mobility difficulties in their daily lives. These platforms incorporate diverse control interfaces, including gesture recognition, speech commands, and IoT-based wearable controls, reflecting his focus on accessibility and usability. His exploration of communication systems built on Web and ROS architectures demonstrates a practical engineering philosophy. With over 140 cumulative citations, Chikurtev's research bridges autonomous navigation technology and compassionate human-centered design, making meaningful contributions to the growing field of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Simulation and Navigation in ROS and Gazebo43 citations · 2020
- 2
- 3Mobile robot localization and navigation using LIDAR and indoor GPS17 citations · 2021
- 4Communication system for remote control of service robots16 citations · 2019
- 5
- 6Cost-Oriented Mobile Robot Assistant for Disabled Care11 citations · 2015
- 7
- 8Exploring Human-Robot Interfaces for Service Mobile Robots8 citations · 2018
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- 10