Sergei Satsevich
Papers
3
Total Citations
10
H-Index
2
About
Sergei Satsevich is a pioneering roboticist whose work sits at the intersection of assistive robotics, multi-agent systems, and embodied AI. His research focuses on making robots more perceptive, communicative, and useful in real-world human environments. Satsevich’s most impactful contribution is **DogSurf**, a quadruped robot system that uses a GRU-based neural network to recognize slippery surfaces, enabling safe navigation for visually impaired users through audio and haptic feedback. This work, which has garnered 5 citations since 2024, represents a novel fusion of legged locomotion and tactile intelligence for human assistance. He also introduced **LLM-MARS**, the first system to integrate Large Language Models into multi-robot teams, allowing dynamic human-robot dialogue and automatic behavior tree generation from natural language commands. His **HyperSurf** project further advances surface recognition by developing a specialized single-leg testbed with real-to-sim transfer, accelerating data collection for robust terrain classification. With a citation count approaching 10 across his early-career papers, Satsevich is establishing himself as a leader in human-centered robotics, where perception, language, and mechanical design converge to create machines that truly understand and support people.
Research Focus
Key Achievements
Top Papers
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