Vladimir Danilov
Institute of Informatics Problems, Moscow Aviation Institute
Papers
2
Total Citations
5
H-Index
2
About
Vladimir Danilov is a robotics researcher specializing in bio-inspired locomotion and intelligent control for multi-legged walking robots. His work centers on developing Central Pattern Generator (CPG)-based architectures that enable stable, adaptive gait generation for quadruped and insectomorphic robots. In his most-cited paper, "CPG-Based Gait Generator for a Quadruped Robot with Sidewalk and Turning Operations" (2022, 3 citations), Danilov introduces a neural oscillator framework that allows a quadruped to seamlessly transition between forward walking, sideways motion, and turning—a critical capability for navigating confined or uneven terrain. His earlier foundational study, "Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities" (2020, 2 citations), systematically analyzes walking robot structures, justifies the design of a six-legged insectomorphic platform, and proposes self-learning control algorithms that adapt to changing environments without explicit reprogramming. By bridging biological CPG principles with practical robotic implementations, Danilov contributes to more autonomous, terrain-agnostic walking machines. His work holds promise for applications in search-and-rescue, planetary exploration, and industrial inspection, where robust legged locomotion is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2