Fuzzy Logic and Neural Network-Based Intelligent Control System for Quadruped Robot on Extreme Terrain

We propose FLONIC-Q, a quadruped control framework that uses parallel MFLC for high-level trajectory following and a learning-based low-level controller to maintain stable tracking on extreme terrains, outperforming PID baselines in simulation.