Vladimir Sukhoy
Papers
9
Total Citations
334
H-Index
7
About
Vladimir Sukhoy is a robotics researcher whose work sits at the intersection of autonomous robot learning, multimodal perception, and behavior-grounded cognition. His research focuses on enabling humanoid robots to understand and interact with their environments through active exploration, drawing on sensory modalities including vibrotactile, acoustic, visual, and proprioceptive feedback. Sukhoy's most influential contribution, "Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot" (2011, 158 citations), demonstrated that a robot equipped with an artificial fingernail and accelerometer could reliably distinguish among 20 different surfaces — a landmark result in robotic touch perception. His broader body of work advances the concept of behavior-grounded categorization, showing how robots can form meaningful object categories — such as containers versus non-containers — by coupling exploratory actions with observed sensory outcomes across acoustic and visual channels, as evidenced by his 2012 paper grounding semantic categories across 100 objects (74 citations). Beyond perception, Sukhoy tackled practical manipulation challenges, including teaching robots to slide magnetic cards and press doorbell buttons through developmental, trial-and-error learning strategies. Collectively, his research has accumulated over 330 citations, establishing him as a meaningful contributor to embodied robot cognition and autonomous skill acquisition.
Research Focus
Key Achievements
Top Papers
- 1Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot158 citations · 2011
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- 4Learning to slide a magnetic card through a card reader14 citations · 2012
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- 7Using sequences of movement dependency graphs to form object categories7 citations · 2011
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- 9Learning to press doorbell buttons5 citations · 2010