Gabe Carryon

Reinforcement Learning as a Method for Tuning CPG Controllers for Underwater Multi-Fin Propulsion

CPG-Based oscillator networks are increasingly being used to drive multi-limbed robots. To produce effective gaits with these networks, the relationship between the CPG parameters and the characteristics of the gait must be determined. However, due to the nonlinear nature of the oscillators, this re…