Dmitry A. Sinyukov
Papers
8
Total Citations
97
H-Index
6
About
Dmitry A. Sinyukov is a robotics and human-machine interaction researcher whose work sits at the intersection of assistive technology, autonomous navigation, and accessible control interfaces. His research is primarily motivated by improving mobility and independence for individuals with severe physical disabilities, with a particular focus on developing intelligent wheelchair systems that can be operated through unconventional input modalities. Sinyukov's most cited contribution (31 citations) introduced a navigation framework integrating voice control via Google Glass and CMU Sphinx, alongside facial expression recognition through Emotiv EPOC, into a semi-autonomous robotic wheelchair — a landmark demonstration of multimodal assistive control. He has further extended this vision by developing EEG-based brain-computer interfaces capable of reliably issuing commands every second to control tele-operated robots and wheelchairs (15 citations). His modular sensor architecture work (15 citations) provided a practical blueprint for converting commercial wheelchairs into semi-autonomous platforms. Beyond hardware integration, Sinyukov has made algorithmic contributions through his CWave path planning algorithm, offering high-performance single-source any-angle navigation on 2D grids. His shared position control framework addresses the fundamental challenge of achieving effective robot navigation through inherently low-throughput interfaces. Collectively, his research advances a cohesive mission: making robotic mobility accessible to all.
Research Focus
Key Achievements
Top Papers
- 1
- 2Brain Interface to Control a Tele-Operated Robot15 citations · 2020
- 3Development of modular sensors for semi-autonomous wheelchairs15 citations · 2013
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- 7CWave: High-performance single-source any-angle path planning on a grid4 citations · 2017
- 8