Bumblebee flight stabilization using discrete control Lyapunov function-based controller in reinforcement learning environment

Key Points

• Flight stabilization is effectively achieved using a discrete control Lyapunov function-based controller,
• The controller implementation resulted in a notable increase in stability during bumblebee flight,
• Assessment using a reinforcement learning environment provides insights into dynamic flight control,
• Findings may enable better robotic designs inspired by bumblebee flight mechanisms.