James Tangorra — accepted AI-conference papers

2026

Tuning Hydrodynamic Coefficients Using a Genetic Algorithm for a Numerical Model of a Bio-Robotic Sea Lion

Shraman Kadapa, Nicholas Marcouiller, Anthony Drago, James Tangorra, Harry Kwatny

ICRA 2026poster

Bio-inspired swimming vehicles are increasingly being developed to understand the locomotion strategies of aquatic animals to expand the performance envelope of engineered systems. However, the increasing complexity of these multi-segmented vehicles makes it challenging to understand and optimize th…

Cited by 0 Scholar ↗

2022

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

Anthony Drago, Gabe Carryon, James Tangorra

ICRA 2022poster

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…

Cited by 3 Source ↗Scholar ↗