Papers

9

Total Citations

141

H-Index

7

About

Dmitry Sokolov is a researcher whose work bridges the fascinating worlds of **computational scene understanding** and **non-anthropomorphic robotic stabilization**. His early and most impactful contributions center on **virtual world exploration**, where he developed methods to help humans intuitively understand complex 3D scenes. His seminal 2007 paper, "Virtual world explorations by using topological and semantic knowledge" (36 citations), along with his foundational work on "Viewpoint quality and scene understanding" (31 citations), established techniques for automatically identifying the best viewpoints to maximize a user's comprehension of a virtual environment—a challenge critical to fields from graph drawing to robot motion planning. More recently, Sokolov has pivoted to pioneering **control strategies for legged robots** that reject traditional human-like designs. He is the creator of the **Gyrubot** (2021, 12 citations), a proof-of-concept bipedal robot that uses a reaction wheel for stabilization rather than complex ankle joints. His work on **scissored pair control moment gyroscopes** and **velocity observers for inverted pendulums** (2019-2021, each with 12 citations) provides the theoretical backbone for this approach, tackling the practical challenges of sensor bias and state estimation. With a career spanning from high-level semantic navigation to the gritty mechanics of gyroscopic stabilization, Sokolov’s research demonstrates a unique ability to apply abstract computational concepts to tangible, dynamic robotic systems.

Research Focus

Key Achievements

7
H-Index
9
Papers
141
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Virtual world explorations by using topological and semantic knowledge
36 citations · 2007
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Centre National de la Recherche Scientifique, Université de Limoges, Université de Lorraine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago