Snejana Pleshkova
Papers
7
Total Citations
45
H-Index
4
About
Snejana Pleshkova is a pioneering researcher in the field of human-robot interaction, specializing in the integration of audio and visual information for mobile robot control. Her work focuses on developing intelligent systems that enable robots to understand and respond to both voice commands and gesture inputs, creating more natural and intuitive interfaces between humans and machines. Pleshkova's most influential contribution is her 2017 paper on a system model for audio-visual control of mobile robots, which has garnered 14 citations and demonstrates her innovative approach to combining sensory inputs. She has also made significant advances in speech recognition algorithms for voice command control, with her 2018 work receiving 11 citations. Her research extends to microphone array beamforming for speaker localization, a critical component for robots operating in complex environments. Pleshkova has explored the application of artificial intelligence and deep learning to build more sophisticated human-robot communication interfaces, as evidenced by her 2019 publication. Her cumulative body of work, spanning over a decade, has laid important groundwork for creating mobile robots that can seamlessly interpret and execute human commands through natural, multimodal communication channels.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Microphone array beamforming for mobile robot6 citations · 2009
- 4
- 5Audio Visual Attention Models in the Mobile Robots Navigation4 citations · 2016
- 6Integrated audio visual information processing in human robot interface2 citations · 2010
- 7