Papers
14
Total Citations
132
H-Index
6
About
Svitlana Maksymova is a robotics researcher whose work bridges voice control, computer vision, and intelligent manufacturing systems. Her core research focuses on enabling intuitive human-robot interaction through speech recognition, with her most cited work, "Speech Recognition Systems: A Comparative Review" (38 citations), providing a foundational comparison of open- and closed-source voice control platforms for robotics. She has developed comprehensive voice control frameworks for industrial robots, integrating logical models, semantic networks, and Petri nets to describe assembly processes—work that has accumulated over 21 citations. Maksymova has also advanced practical implementations, including software architectures for robot voice commands and a training methodology using artificial neural networks. More recently, she has expanded into computer vision for humanoid robots, employing ESP32-Cam microcontrollers for object recognition (13 citations), and explored soft robotics by simulating how structural parameters affect manipulator finger bend angles. Her contributions extend to MEMS-based sensing for ultrasonic welding in modular robot assembly and hexapod control systems. With over 120 total citations across her publications, Maksymova demonstrates a consistent focus on making robots more accessible and adaptable through multimodal control interfaces.
Research Focus
Key Achievements
Top Papers
- 1Speech Recognition Systems: A Comparative Review38 citations · 2017
- 2
- 3Software for Voice Control Robot: Example of Implementation14 citations · 2017
- 4Object Recognition for a Humanoid Robot Based on a Microcontroller13 citations · 2022
- 5
- 6
- 7Voice Control for Flexible Medicine Robot6 citations · 2018
- 8
- 9MEMS accelerometer in hexapod intellectual control4 citations · 2018
- 10